1725 lines
1.2 MiB
Plaintext
1725 lines
1.2 MiB
Plaintext
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2026-04-18 05:54:19 - INFO - __main__ - Model parameters ModelArguments(base_model_revision=None, model_name_or_path='/scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332', model_revision='main', model_code_revision=None, torch_dtype='bfloat16', tokenizer_name_or_path=None, trust_remote_code=False, attn_implementation='flash_attention_2', use_peft=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, lora_target_modules=None, lora_modules_to_save=None, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False, bnb_4bit_quant_storage='uint8')
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2026-04-18 05:54:19 - INFO - __main__ - Data parameters DataArguments(chat_template=None, dataset_mixer={'Anthropic/hh-rlhf': 1.0}, text_column='text', dataset_splits=['train', 'test'], dataset_configs=['helpful-base'], dataset_dir=None, preprocessing_num_workers=12, use_persistent_hf_cache=True, hf_cache_dir='/scratch/feng.yulu/dynamic-dpo-v4/hf/datasets', truncation_side=None, auto_insert_empty_system_msg=True, disable_thinking=False, preprocessing_log_samples=0, preprocessing_log_dir=None)
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2026-04-18 05:54:19 - INFO - __main__ - Training/evaluation parameters BetaDPOConfig(
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_n_gpu=1,
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accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
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adafactor=False,
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adam_beta1=0.9,
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adam_beta2=0.999,
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adam_epsilon=1e-08,
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alpha=0.6,
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auto_find_batch_size=False,
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average_tokens_across_devices=False,
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batch_eval_metrics=False,
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beta=0.1,
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beta_min=0.001,
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bf16=True,
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bf16_full_eval=False,
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data_seed=None,
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dataloader_drop_last=True,
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dataloader_num_workers=0,
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dataloader_persistent_workers=False,
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dataloader_pin_memory=True,
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dataloader_prefetch_factor=None,
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dataset_num_proc=12,
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ddp_backend=None,
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ddp_broadcast_buffers=None,
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ddp_bucket_cap_mb=None,
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ddp_find_unused_parameters=None,
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ddp_timeout=1800,
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debug=[],
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deepspeed=None,
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deterministic_eval=True,
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disable_dropout=True,
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disable_tqdm=False,
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do_eval=True,
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do_predict=False,
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do_train=False,
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ema_momentum=0.9,
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eval_accumulation_steps=None,
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eval_delay=0,
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eval_do_concat_batches=True,
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eval_on_start=False,
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eval_steps=100,
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eval_strategy=IntervalStrategy.STEPS,
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eval_use_gather_object=False,
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f_alpha_divergence_coef=1.0,
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f_divergence_type=FDivergenceType.REVERSE_KL,
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force_use_ref_model=False,
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fp16=False,
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fp16_backend=auto,
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fp16_full_eval=False,
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fp16_opt_level=O1,
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fsdp=[],
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fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
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fsdp_min_num_params=0,
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fsdp_transformer_layer_cls_to_wrap=None,
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full_determinism=False,
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generate_during_eval=False,
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gradient_accumulation_steps=2,
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gradient_checkpointing=True,
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gradient_checkpointing_kwargs={'use_reentrant': False},
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greater_is_better=None,
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group_by_length=False,
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half_precision_backend=auto,
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hub_always_push=False,
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hub_model_id=W-61/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64,
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hub_model_revision=main,
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hub_private_repo=None,
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hub_strategy=HubStrategy.EVERY_SAVE,
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hub_token=<HUB_TOKEN>,
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ignore_data_skip=False,
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include_for_metrics=[],
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include_inputs_for_metrics=False,
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include_num_input_tokens_seen=False,
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include_tokens_per_second=False,
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is_encoder_decoder=None,
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jit_mode_eval=False,
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label_names=None,
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label_pad_token_id=-100,
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label_smoothing=0.0,
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label_smoothing_factor=0.0,
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learning_rate=5e-07,
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length_column_name=length,
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load_best_model_at_end=False,
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local_rank=0,
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log_level=info,
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log_level_replica=warning,
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log_on_each_node=True,
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logging_dir=outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64/runs/Apr18_05-54-19_d4055,
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logging_first_step=True,
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logging_nan_inf_filter=True,
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logging_steps=1,
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logging_strategy=IntervalStrategy.STEPS,
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loss_type=sigmoid,
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lr_scheduler_kwargs={},
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lr_scheduler_type=SchedulerType.COSINE,
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max_grad_norm=1.0,
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max_length=512,
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max_prompt_length=256,
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max_steps=-1,
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max_target_length=None,
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metric_for_best_model=None,
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model_adapter_name=None,
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model_init_kwargs=None,
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mp_parameters=,
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neftune_noise_alpha=None,
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no_cuda=False,
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non_finite_logits_handling=sanitize,
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num_train_epochs=1,
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optim=OptimizerNames.ADAMW_TORCH,
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optim_args=None,
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optim_target_modules=None,
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output_dir=/scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332,
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overwrite_output_dir=False,
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padding_value=None,
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past_index=-1,
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per_device_eval_batch_size=8,
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per_device_train_batch_size=8,
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post_tokenization_log_dir=None,
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post_tokenization_log_samples=0,
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precompute_ref_batch_size=None,
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precompute_ref_eval_batch_size=None,
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precompute_ref_log_probs=False,
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prediction_loss_only=False,
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push_to_hub=False,
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push_to_hub_model_id=None,
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push_to_hub_organization=None,
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push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
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ray_scope=last,
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ref_adapter_name=None,
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ref_model_init_kwargs=None,
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ref_model_mixup_alpha=0.9,
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ref_model_sync_steps=64,
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reference_free=False,
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remove_unused_columns=False,
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report_to=['wandb'],
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require_equal_local_batch_size=True,
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restore_callback_states_from_checkpoint=False,
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resume_from_checkpoint=None,
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reuse_tokenized_dataset=True,
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rho=0.8,
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rpo_alpha=None,
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run_name=mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332,
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save_on_each_node=False,
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save_only_model=False,
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save_safetensors=True,
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save_steps=200,
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save_strategy=SaveStrategy.STEPS,
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save_total_limit=2,
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seed=42,
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sft_weight=0.0,
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skip_memory_metrics=True,
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sync_global_mask=True,
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sync_ref_model=False,
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tf32=None,
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tokenization_batch_size=128,
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tokenization_mode=online,
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tokenized_dataset_cache_dir=/scratch/feng.yulu/dynamic-dpo-v4/tokenized_preferences,
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torch_compile=False,
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torch_compile_backend=None,
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torch_compile_mode=None,
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torch_empty_cache_steps=None,
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torchdynamo=None,
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tp_size=0,
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tpu_metrics_debug=False,
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tpu_num_cores=None,
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trainer_type=beta_dpo,
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truncation_mode=keep_end,
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use_cpu=False,
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use_ipex=False,
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use_legacy_prediction_loop=False,
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use_liger_kernel=False,
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use_mps_device=False,
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wandb_project=ood-run-4xh200,
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warmup_ratio=0.1,
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warmup_steps=0,
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weight_decay=0.0,
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)
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2026-04-18 05:54:19 - INFO - __main__ - W&B project: ood-run-4xh200
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2026-04-18 05:54:19 - INFO - __main__ - Beta-DPO parameters: beta=0.1, rho=0.8, alpha=0.6, ema_momentum=0.9
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2026-04-18 05:54:19 - INFO - __main__ - Using persistent HF datasets cache at /scratch/feng.yulu/dynamic-dpo-v4/hf/datasets
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2026-04-18 05:54:22 - WARNING - __main__ - Dropped 237 non-canonical HH preference examples from split `train` before normalization (126 x HH preprocessing expects exactly one final assistant response in chosen/rejected suffixes., 111 x HH chosen/rejected transcripts must each contain a divergent assistant response.).
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Normalizing raw HH preferences (train): 0%| | 0/43598 [00:00<?, ? examples/s]
Normalizing raw HH preferences (train): 0%| | 0/43598 [00:00<?, ? examples/s]
Normalizing raw HH preferences (train): 0%| | 0/43598 [00:00<?, ? examples/s]
Normalizing raw HH preferences (train): 0%| | 0/43598 [00:00<?, ? examples/s]
Normalizing raw HH preferences (train): 2%|█▍ | 1000/43598 [00:00<00:04, 9031.92 examples/s]
Normalizing raw HH preferences (train): 2%|█▍ | 1000/43598 [00:00<00:04, 8934.58 examples/s]
Normalizing raw HH preferences (train): 2%|█▍ | 1000/43598 [00:00<00:04, 8929.98 examples/s]
Normalizing raw HH preferences (train): 2%|█▍ | 1000/43598 [00:00<00:04, 8929.12 examples/s]
Normalizing raw HH preferences (train): 5%|███▏ | 2272/43598 [00:00<00:03, 11105.98 examples/s]
Normalizing raw HH preferences (train): 5%|███▏ | 2263/43598 [00:00<00:03, 11002.64 examples/s]
Normalizing raw HH preferences (train): 5%|███▏ | 2263/43598 [00:00<00:03, 10998.20 examples/s]
Normalizing raw HH preferences (train): 5%|███▏ | 2254/43598 [00:00<00:03, 10947.29 examples/s]
Normalizing raw HH preferences (train): 8%|█████ | 3582/43598 [00:00<00:03, 11988.08 examples/s]
Normalizing raw HH preferences (train): 8%|████▉ | 3553/43598 [00:00<00:03, 11842.87 examples/s]
Normalizing raw HH preferences (train): 8%|████▉ | 3561/43598 [00:00<00:03, 11876.51 examples/s]
Normalizing raw HH preferences (train): 8%|████▉ | 3516/43598 [00:00<00:03, 11684.90 examples/s]
Normalizing raw HH preferences (train): 11%|██████▊ | 4829/43598 [00:00<00:03, 12197.99 examples/s]
Normalizing raw HH preferences (train): 11%|██████▊ | 4873/43598 [00:00<00:03, 12340.73 examples/s]
Normalizing raw HH preferences (train): 11%|██████▊ | 4844/43598 [00:00<00:03, 12243.19 examples/s]
Normalizing raw HH preferences (train): 11%|██████▋ | 4766/43598 [00:00<00:03, 11996.33 examples/s]
Normalizing raw HH preferences (train): 14%|████████▍ | 6000/43598 [00:00<00:03, 11797.90 examples/s]
Normalizing raw HH preferences (train): 16%|█████████▍ | 6763/43598 [00:00<00:02, 12456.42 examples/s]
Normalizing raw HH preferences (train): 15%|█████████▍ | 6705/43598 [00:00<00:02, 12314.27 examples/s]
Normalizing raw HH preferences (train): 15%|█████████▎ | 6692/43598 [00:00<00:03, 12263.30 examples/s]
Normalizing raw HH preferences (train): 17%|██████████▌ | 7385/43598 [00:00<00:04, 7912.85 examples/s]
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Normalizing raw HH preferences (train): 100%|████████████████████████████████████████████████████████████| 43598/43598 [00:03<00:00, 10992.83 examples/s]
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Normalizing raw HH preferences (train): 100%|████████████████████████████████████████████████████████████| 43598/43598 [00:03<00:00, 10948.56 examples/s]
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Normalizing raw HH preferences (train): 100%|████████████████████████████████████████████████████████████| 43598/43598 [00:03<00:00, 10951.04 examples/s]
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Normalizing raw HH preferences (test): 0%| | 0/2339 [00:00<?, ? examples/s]
Normalizing raw HH preferences (test): 0%| | 0/2339 [00:00<?, ? examples/s]2026-04-18 05:54:27 - WARNING - __main__ - Dropped 15 non-canonical HH preference examples from split `test` before normalization (9 x HH preprocessing expects exactly one final assistant response in chosen/rejected suffixes., 6 x HH chosen/rejected transcripts must each contain a divergent assistant response.).
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Normalizing raw HH preferences (test): 0%| | 0/2339 [00:00<?, ? examples/s]
Normalizing raw HH preferences (test): 0%| | 0/2339 [00:00<?, ? examples/s]
Normalizing raw HH preferences (test): 48%|██████████████████████████████▌ | 1134/2339 [00:00<00:00, 11294.88 examples/s]
Normalizing raw HH preferences (test): 49%|██████████████████████████████▊ | 1145/2339 [00:00<00:00, 11401.38 examples/s]
Normalizing raw HH preferences (test): 50%|███████████████████████████████▊ | 1181/2339 [00:00<00:00, 11759.77 examples/s]
Normalizing raw HH preferences (test): 49%|██████████████████████████████▊ | 1144/2339 [00:00<00:00, 11392.96 examples/s]
Normalizing raw HH preferences (test): 100%|████████████████████████████████████████████████████████████████| 2339/2339 [00:00<00:00, 6020.61 examples/s]
Normalizing raw HH preferences (test): 100%|████████████████████████████████████████████████████████████████| 2339/2339 [00:00<00:00, 6082.21 examples/s]
Normalizing raw HH preferences (test): 100%|████████████████████████████████████████████████████████████████| 2339/2339 [00:00<00:00, 6478.03 examples/s]
Normalizing raw HH preferences (test): 100%|████████████████████████████████████████████████████████████████| 2339/2339 [00:00<00:00, 6212.54 examples/s]
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Normalizing raw HH preferences (test): 100%|████████████████████████████████████████████████████████████████| 2339/2339 [00:00<00:00, 6064.19 examples/s]
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Normalizing raw HH preferences (test): 100%|████████████████████████████████████████████████████████████████| 2339/2339 [00:00<00:00, 6098.29 examples/s]
Normalizing raw HH preferences (test): 100%|████████████████████████████████████████████████████████████████| 2339/2339 [00:00<00:00, 5945.58 examples/s]
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2026-04-18 05:54:27 - INFO - __main__ - Training on the following splits: ['train : 43598', 'test : 2339']
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[INFO|tokenization_utils_base.py:2058] 2026-04-18 05:54:27,643 >> loading file tokenizer.model
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[INFO|tokenization_utils_base.py:2058] 2026-04-18 05:54:27,643 >> loading file tokenizer.json
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[INFO|tokenization_utils_base.py:2058] 2026-04-18 05:54:27,643 >> loading file added_tokens.json
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[INFO|tokenization_utils_base.py:2058] 2026-04-18 05:54:27,643 >> loading file special_tokens_map.json
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[INFO|tokenization_utils_base.py:2058] 2026-04-18 05:54:27,643 >> loading file tokenizer_config.json
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[INFO|tokenization_utils_base.py:2058] 2026-04-18 05:54:27,643 >> loading file chat_template.jinja
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2026-04-18 05:54:28 - INFO - __main__ - Processed train sample 41905:
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Prompt:
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<|system|>
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</s>
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<|user|>
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What is the best way to clean my refrigerator?</s>
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<|assistant|>
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Well, I have a few ideas, but the best way to know what works best is to run some tests and then analyze the data to figure out which technique works best.</s>
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<|user|>
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What are your ideas?</s>
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Chosen:
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<|assistant|>
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Some of my ideas include wiping down the interior with a rag, using bleach and water to wipe down the door, emptying the contents of the fridge to scrub the shelves with a clean cloth, cleaning the interior of the fridge with vinegar and water, and using a vacuum cleaner to clean the interior.</s>
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|
Rejected:
|
|||
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|
<|assistant|>
|
|||
|
|
I was thinking that you could try different types of soap, which could be a variation of “soap,” like antibacterial soap. I was also thinking that you could try using different tools, like a toothbrush, to clean the inside. Or I was thinking that you could try different ways to get the gunk out, like using a squeegee, or using a paper towel. I was also thinking you could try other types of cleaning, like vacuuming, but I think that could have the opposite of the desired effect.</s>
|
|||
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|
|||
|
|
/home/feng.yulu/dynamic-dpo-v4/scripts/tokenized_dpo_trainer.py:391: UserWarning: You passed a model_id to the trainer. This will automatically create an `AutoModelForCausalLM` or a `PeftModel` (if you passed a `peft_config`) for you.
|
|||
|
|
warnings.warn(
|
|||
|
|
/home/feng.yulu/dynamic-dpo-v4/scripts/tokenized_dpo_trainer.py:391: UserWarning: You passed a model_id to the trainer. This will automatically create an `AutoModelForCausalLM` or a `PeftModel` (if you passed a `peft_config`) for you.
|
|||
|
|
warnings.warn(
|
|||
|
|
/home/feng.yulu/dynamic-dpo-v4/scripts/tokenized_dpo_trainer.py:391: UserWarning: You passed a model_id to the trainer. This will automatically create an `AutoModelForCausalLM` or a `PeftModel` (if you passed a `peft_config`) for you.
|
|||
|
|
warnings.warn(
|
|||
|
|
/home/feng.yulu/dynamic-dpo-v4/scripts/tokenized_dpo_trainer.py:391: UserWarning: You passed a model_id to the trainer. This will automatically create an `AutoModelForCausalLM` or a `PeftModel` (if you passed a `peft_config`) for you.
|
|||
|
|
warnings.warn(
|
|||
|
|
[INFO|configuration_utils.py:691] 2026-04-18 05:54:28,204 >> loading configuration file /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332/config.json
|
|||
|
|
[INFO|configuration_utils.py:765] 2026-04-18 05:54:28,210 >> Model config MistralConfig {
|
|||
|
|
"architectures": [
|
|||
|
|
"MistralForCausalLM"
|
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],
|
|||
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|
"attention_dropout": 0.0,
|
|||
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"bos_token_id": 1,
|
|||
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|
"eos_token_id": 2,
|
|||
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"head_dim": 128,
|
|||
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"hidden_act": "silu",
|
|||
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"hidden_size": 4096,
|
|||
|
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"initializer_range": 0.02,
|
|||
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"intermediate_size": 14336,
|
|||
|
|
"max_position_embeddings": 32768,
|
|||
|
|
"model_type": "mistral",
|
|||
|
|
"num_attention_heads": 32,
|
|||
|
|
"num_hidden_layers": 32,
|
|||
|
|
"num_key_value_heads": 8,
|
|||
|
|
"rms_norm_eps": 1e-05,
|
|||
|
|
"rope_theta": 1000000.0,
|
|||
|
|
"sliding_window": null,
|
|||
|
|
"tie_word_embeddings": false,
|
|||
|
|
"torch_dtype": "bfloat16",
|
|||
|
|
"transformers_version": "4.51.0",
|
|||
|
|
"use_cache": false,
|
|||
|
|
"vocab_size": 32768
|
|||
|
|
}
|
|||
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|
|||
|
|
[INFO|modeling_utils.py:1121] 2026-04-18 05:54:28,714 >> loading weights file /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332/model.safetensors.index.json
|
|||
|
|
[INFO|modeling_utils.py:2167] 2026-04-18 05:54:28,716 >> Instantiating MistralForCausalLM model under default dtype torch.bfloat16.
|
|||
|
|
[WARNING|logging.py:328] 2026-04-18 05:54:28,717 >> You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`.
|
|||
|
|
[WARNING|logging.py:328] 2026-04-18 05:54:28,717 >> You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`.
|
|||
|
|
[WARNING|logging.py:328] 2026-04-18 05:54:28,717 >> You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`.
|
|||
|
|
[WARNING|logging.py:328] 2026-04-18 05:54:28,717 >> You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`.
|
|||
|
|
[INFO|configuration_utils.py:1142] 2026-04-18 05:54:28,718 >> Generate config GenerationConfig {
|
|||
|
|
"bos_token_id": 1,
|
|||
|
|
"eos_token_id": 2,
|
|||
|
|
"use_cache": false
|
|||
|
|
}
|
|||
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|
|||
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Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 210.67it/s]
|
|||
|
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|
|||
|
|
Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 208.96it/s]
|
|||
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|
|||
|
|
Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 455.77it/s]
|
|||
|
|
Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 454.42it/s]
|
|||
|
|
[WARNING|trainer.py:821] 2026-04-18 05:54:28,930 >> Trainer.tokenizer is now deprecated. You should use `Trainer.processing_class = processing_class` instead.
|
|||
|
|
[WARNING|trainer.py:821] 2026-04-18 05:54:28,931 >> Trainer.tokenizer is now deprecated. You should use `Trainer.processing_class = processing_class` instead.
|
|||
|
|
[WARNING|trainer.py:821] 2026-04-18 05:54:28,931 >> Trainer.tokenizer is now deprecated. You should use `Trainer.processing_class = processing_class` instead.
|
|||
|
|
Loading checkpoint shards: 17%|███████████████▏ | 1/6 [00:09<00:46, 9.32s/it]
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Loading checkpoint shards: 83%|███████████████████████████████████████████████████████████████████████████▊ | 5/6 [00:44<00:08, 8.90s/it]
Loading checkpoint shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:52<00:00, 8.46s/it]
Loading checkpoint shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:52<00:00, 8.75s/it]
|
|||
|
|
[INFO|modeling_utils.py:4926] 2026-04-18 05:55:21,319 >> All model checkpoint weights were used when initializing MistralForCausalLM.
|
|||
|
|
|
|||
|
|
[INFO|modeling_utils.py:4934] 2026-04-18 05:55:21,319 >> All the weights of MistralForCausalLM were initialized from the model checkpoint at /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332.
|
|||
|
|
If your task is similar to the task the model of the checkpoint was trained on, you can already use MistralForCausalLM for predictions without further training.
|
|||
|
|
[INFO|configuration_utils.py:1095] 2026-04-18 05:55:21,333 >> loading configuration file /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332/generation_config.json
|
|||
|
|
[INFO|configuration_utils.py:1142] 2026-04-18 05:55:21,333 >> Generate config GenerationConfig {
|
|||
|
|
"bos_token_id": 1,
|
|||
|
|
"eos_token_id": 2
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
[INFO|configuration_utils.py:691] 2026-04-18 05:55:21,334 >> loading configuration file /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332/config.json
|
|||
|
|
[INFO|configuration_utils.py:765] 2026-04-18 05:55:21,334 >> Model config MistralConfig {
|
|||
|
|
"architectures": [
|
|||
|
|
"MistralForCausalLM"
|
|||
|
|
],
|
|||
|
|
"attention_dropout": 0.0,
|
|||
|
|
"bos_token_id": 1,
|
|||
|
|
"eos_token_id": 2,
|
|||
|
|
"head_dim": 128,
|
|||
|
|
"hidden_act": "silu",
|
|||
|
|
"hidden_size": 4096,
|
|||
|
|
"initializer_range": 0.02,
|
|||
|
|
"intermediate_size": 14336,
|
|||
|
|
"max_position_embeddings": 32768,
|
|||
|
|
"model_type": "mistral",
|
|||
|
|
"num_attention_heads": 32,
|
|||
|
|
"num_hidden_layers": 32,
|
|||
|
|
"num_key_value_heads": 8,
|
|||
|
|
"rms_norm_eps": 1e-05,
|
|||
|
|
"rope_theta": 1000000.0,
|
|||
|
|
"sliding_window": null,
|
|||
|
|
"tie_word_embeddings": false,
|
|||
|
|
"torch_dtype": "bfloat16",
|
|||
|
|
"transformers_version": "4.51.0",
|
|||
|
|
"use_cache": false,
|
|||
|
|
"vocab_size": 32768
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
[INFO|modeling_utils.py:1121] 2026-04-18 05:55:21,335 >> loading weights file /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332/model.safetensors.index.json
|
|||
|
|
[INFO|modeling_utils.py:2167] 2026-04-18 05:55:21,336 >> Instantiating MistralForCausalLM model under default dtype torch.bfloat16.
|
|||
|
|
[INFO|configuration_utils.py:1142] 2026-04-18 05:55:21,343 >> Generate config GenerationConfig {
|
|||
|
|
"bos_token_id": 1,
|
|||
|
|
"eos_token_id": 2,
|
|||
|
|
"use_cache": false
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
Loading checkpoint shards: 0%| | 0/6 [00:00<?, ?it/s]
Loading checkpoint shards: 17%|███████████████▏ | 1/6 [00:01<00:07, 1.44s/it]
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Loading checkpoint shards: 67%|████████████████████████████████████████████████████████████▋ | 4/6 [00:05<00:02, 1.40s/it]
Loading checkpoint shards: 83%|███████████████████████████████████████████████████████████████████████████▊ | 5/6 [00:06<00:01, 1.32s/it]
Loading checkpoint shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:07<00:00, 1.23s/it]
Loading checkpoint shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:07<00:00, 1.31s/it]
|
|||
|
|
[INFO|modeling_utils.py:4926] 2026-04-18 05:55:29,221 >> All model checkpoint weights were used when initializing MistralForCausalLM.
|
|||
|
|
|
|||
|
|
[INFO|modeling_utils.py:4934] 2026-04-18 05:55:29,222 >> All the weights of MistralForCausalLM were initialized from the model checkpoint at /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332.
|
|||
|
|
If your task is similar to the task the model of the checkpoint was trained on, you can already use MistralForCausalLM for predictions without further training.
|
|||
|
|
[INFO|configuration_utils.py:1095] 2026-04-18 05:55:29,224 >> loading configuration file /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332/generation_config.json
|
|||
|
|
[INFO|configuration_utils.py:1142] 2026-04-18 05:55:29,224 >> Generate config GenerationConfig {
|
|||
|
|
"bos_token_id": 1,
|
|||
|
|
"eos_token_id": 2
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
[WARNING|trainer.py:821] 2026-04-18 05:55:29,226 >> Trainer.tokenizer is now deprecated. You should use `Trainer.processing_class = processing_class` instead.
|
|||
|
|
[WARNING|trainer.py:816] 2026-04-18 05:55:29,226 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
|
|||
|
|
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|
|||
|
|
[WARNING|trainer.py:816] 2026-04-18 06:00:16,898 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
|
|||
|
|
Saving the dataset (0/2 shards): 0%| | 0/43598 [00:00<?, ? examples/s]
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Saving the dataset (1/2 shards): 94%|██████████████████████████████████████████████████████████████▋ | 40799/43598 [00:01<00:00, 33229.68 examples/s]
Saving the dataset (2/2 shards): 100%|███████████████████████████████████████████████████████████████████| 43598/43598 [00:01<00:00, 33229.68 examples/s]
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|
|||
|
|
[WARNING|trainer.py:816] 2026-04-18 06:00:19,388 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
|
|||
|
|
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Tokenizing test (num_proc=12): 81%|███████████████████████████████████████████████████████████▌ | 1883/2339 [03:56<00:54, 8.42 examples/s]
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[WARNING|trainer.py:816] 2026-04-18 06:05:29,586 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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Saving the dataset (0/1 shards): 0%| | 0/2339 [00:00<?, ? examples/s]
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/home/feng.yulu/dynamic-dpo-v4/scripts/tokenized_dpo_trainer.py:521: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `BetaDPOTrainer.__init__`. Use `processing_class` instead.
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super().__init__(
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,091 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,091 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,092 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,227 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,227 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,227 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,227 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,227 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,227 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,243 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,243 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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[WARNING|trainer.py:816] 2026-04-18 06:05:31,243 >> Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead.
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/home/feng.yulu/dynamic-dpo-v4/scripts/tokenized_dpo_trainer.py:521: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `BetaDPOTrainer.__init__`. Use `processing_class` instead.
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|
super().__init__(
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/home/feng.yulu/dynamic-dpo-v4/scripts/tokenized_dpo_trainer.py:521: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `BetaDPOTrainer.__init__`. Use `processing_class` instead.
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|
super().__init__(
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/home/feng.yulu/dynamic-dpo-v4/scripts/tokenized_dpo_trainer.py:521: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `BetaDPOTrainer.__init__`. Use `processing_class` instead.
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super().__init__(
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[INFO|trainer.py:748] 2026-04-18 06:05:31,473 >> Using auto half precision backend
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/home/feng.yulu/.conda/envs/dpo_venv/lib/python3.11/site-packages/accelerate/accelerator.py:1557: UserWarning: Upcasted low precision parameters in MistralForCausalLM because mixed precision turned on in FSDP. Affects: model.embed_tokens.weight, model.norm.weight, lm_head.weight.
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warnings.warn(
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/home/feng.yulu/.conda/envs/dpo_venv/lib/python3.11/site-packages/accelerate/accelerator.py:1557: UserWarning: Upcasted low precision parameters in MistralDecoderLayer because mixed precision turned on in FSDP. Affects: self_attn.q_proj.weight, self_attn.k_proj.weight, self_attn.v_proj.weight, self_attn.o_proj.weight, mlp.gate_proj.weight, mlp.up_proj.weight, mlp.down_proj.weight, input_layernorm.weight, post_attention_layernorm.weight.
|
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|
|
warnings.warn(
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|
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/home/feng.yulu/.conda/envs/dpo_venv/lib/python3.11/site-packages/accelerate/accelerator.py:1563: UserWarning: FSDP upcast of low precision parameters may affect the precision of model checkpoints.
|
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|
|
warnings.warn(
|
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[INFO|trainer.py:2414] 2026-04-18 06:05:35,147 >> ***** Running training *****
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[INFO|trainer.py:2415] 2026-04-18 06:05:35,147 >> Num examples = 43,598
|
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[INFO|trainer.py:2416] 2026-04-18 06:05:35,147 >> Num Epochs = 1
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[INFO|trainer.py:2417] 2026-04-18 06:05:35,147 >> Instantaneous batch size per device = 8
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[INFO|trainer.py:2420] 2026-04-18 06:05:35,147 >> Total train batch size (w. parallel, distributed & accumulation) = 64
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[INFO|trainer.py:2421] 2026-04-18 06:05:35,147 >> Gradient Accumulation steps = 2
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[INFO|trainer.py:2422] 2026-04-18 06:05:35,147 >> Total optimization steps = 681
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[INFO|trainer.py:2423] 2026-04-18 06:05:35,148 >> Number of trainable parameters = 1,812,005,888
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[INFO|integration_utils.py:831] 2026-04-18 06:05:35,148 >> Automatic Weights & Biases logging enabled, to disable set os.environ["WANDB_DISABLED"] = "true"
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|
wandb: Currently logged in as: can-not-fand (can-not-fand-northeastern-university). Use `wandb login --relogin` to force relogin
|
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|
|
wandb: wandb version 0.26.0 is available! To upgrade, please run:
|
|||
|
|
wandb: $ pip install wandb --upgrade
|
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|
wandb: Tracking run with wandb version 0.17.5
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wandb: Run data is saved locally in /scratch/feng.yulu/dynamic-dpo-v4/wandb/wandb/run-20260418_060538-gcan90hu
|
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|
wandb: Run `wandb offline` to turn off syncing.
|
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|
wandb: Syncing run mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332
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|
wandb: ⭐️ View project at https://wandb.ai/can-not-fand-northeastern-university/ood-run-4xh200
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wandb: 🚀 View run at https://wandb.ai/can-not-fand-northeastern-university/ood-run-4xh200/runs/gcan90hu
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0%| | 0/681 [00:00<?, ?it/s][WARNING|modeling_utils.py:1713] 2026-04-18 06:05:46,354 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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[WARNING|modeling_utils.py:1713] 2026-04-18 06:05:46,355 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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[WARNING|modeling_utils.py:1713] 2026-04-18 06:05:46,378 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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[WARNING|modeling_utils.py:1713] 2026-04-18 06:05:46,378 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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0%|▏ | 1/681 [00:03<40:27, 3.57s/it]
{'loss': 1.385, 'grad_norm': 150.13343811035156, 'learning_rate': 0.0, 'beta_dpo/gap_mean': 0.0036213158164173365, 'beta_dpo/gap_std': 0.04173510894179344, 'beta_dpo/beta_used_raw': 0.1005711555480957, 'beta_dpo/beta_used': 0.1005711555480957, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.1338672637939453, 'logits/rejected': -3.1045522689819336, 'beta_dpo/beta': 0.1005711555480957, 'beta_dpo/loss_margin_mean': 0.024216145277023315, 'beta_dpo/beta_margin_mean': 0.002432748908177018, 'beta_dpo/beta_margin_std': 0.028674542903900146, 'beta_dpo/beta_margin_grad_mean': -0.49939221143722534, 'beta_dpo/beta_margin_grad_std': 0.007166189141571522, 'epoch': 0.0}
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0%|▎ | 2/681 [00:06<32:54, 2.91s/it]
{'loss': 1.3838, 'grad_norm': 156.69430541992188, 'learning_rate': 7.246376811594203e-09, 'beta_dpo/gap_mean': 0.0025136363692581654, 'beta_dpo/gap_std': 0.08383626490831375, 'beta_dpo/beta_used_raw': 0.10121786594390869, 'beta_dpo/beta_used': 0.10121786594390869, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.149817943572998, 'logits/rejected': -3.133805751800537, 'beta_dpo/beta': 0.10121786594390869, 'beta_dpo/loss_margin_mean': -0.008541211485862732, 'beta_dpo/beta_margin_mean': -0.0008768404368311167, 'beta_dpo/beta_margin_std': 0.02477947063744068, 'beta_dpo/beta_margin_grad_mean': -0.5002189874649048, 'beta_dpo/beta_margin_grad_std': 0.006193624343723059, 'epoch': 0.0}
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0%|▌ | 3/681 [00:08<31:24, 2.78s/it]
{'loss': 1.3851, 'grad_norm': 169.9915771484375, 'learning_rate': 1.4492753623188406e-08, 'beta_dpo/gap_mean': 0.0029192278161644936, 'beta_dpo/gap_std': 0.113316610455513, 'beta_dpo/beta_used_raw': 0.10055717825889587, 'beta_dpo/beta_used': 0.10055717825889587, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.1339285373687744, 'logits/rejected': -3.0974249839782715, 'beta_dpo/beta': 0.10055717825889587, 'beta_dpo/loss_margin_mean': 0.009323984384536743, 'beta_dpo/beta_margin_mean': 0.0009417525725439191, 'beta_dpo/beta_margin_std': 0.024896962568163872, 'beta_dpo/beta_margin_grad_mean': -0.4997645616531372, 'beta_dpo/beta_margin_grad_std': 0.006223098374903202, 'epoch': 0.0}
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{'loss': 1.3814, 'grad_norm': 153.58120727539062, 'learning_rate': 2.1739130434782606e-08, 'beta_dpo/gap_mean': 0.0034820283763110638, 'beta_dpo/gap_std': 0.14156511425971985, 'beta_dpo/beta_used_raw': 0.10269482433795929, 'beta_dpo/beta_used': 0.10269482433795929, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.124056816101074, 'logits/rejected': -3.1173763275146484, 'beta_dpo/beta': 0.10269482433795929, 'beta_dpo/loss_margin_mean': 0.00913846492767334, 'beta_dpo/beta_margin_mean': 0.0009488743380643427, 'beta_dpo/beta_margin_std': 0.026902994140982628, 'beta_dpo/beta_margin_grad_mean': -0.49976256489753723, 'beta_dpo/beta_margin_grad_std': 0.006724101025611162, 'epoch': 0.01}
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{'loss': 1.3892, 'grad_norm': 179.1089324951172, 'learning_rate': 2.898550724637681e-08, 'beta_dpo/gap_mean': 0.0016051515704020858, 'beta_dpo/gap_std': 0.1615678071975708, 'beta_dpo/beta_used_raw': 0.09814765304327011, 'beta_dpo/beta_used': 0.09814765304327011, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.109281063079834, 'logits/rejected': -3.089329481124878, 'beta_dpo/beta': 0.09814765304327011, 'beta_dpo/loss_margin_mean': -0.03306567668914795, 'beta_dpo/beta_margin_mean': -0.00329973129555583, 'beta_dpo/beta_margin_std': 0.02398756332695484, 'beta_dpo/beta_margin_grad_mean': -0.5008248090744019, 'beta_dpo/beta_margin_grad_std': 0.005996009334921837, 'epoch': 0.01}
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{'loss': 1.3915, 'grad_norm': 171.80946350097656, 'learning_rate': 3.6231884057971014e-08, 'beta_dpo/gap_mean': -0.002422480145469308, 'beta_dpo/gap_std': 0.18281012773513794, 'beta_dpo/beta_used_raw': 0.09695610404014587, 'beta_dpo/beta_used': 0.09695610404014587, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.1225814819335938, 'logits/rejected': -3.0773398876190186, 'beta_dpo/beta': 0.09695610404014587, 'beta_dpo/loss_margin_mean': -0.00355510413646698, 'beta_dpo/beta_margin_mean': -0.00034629780566319823, 'beta_dpo/beta_margin_std': 0.02640008181333542, 'beta_dpo/beta_margin_grad_mean': -0.500086784362793, 'beta_dpo/beta_margin_grad_std': 0.006598716601729393, 'epoch': 0.01}
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1%|█▏ | 7/681 [00:18<27:27, 2.44s/it]
{'loss': 1.3852, 'grad_norm': 165.5727081298828, 'learning_rate': 4.347826086956521e-08, 'beta_dpo/gap_mean': 0.004135521594434977, 'beta_dpo/gap_std': 0.1954803466796875, 'beta_dpo/beta_used_raw': 0.10045399516820908, 'beta_dpo/beta_used': 0.10045399516820908, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.1420326232910156, 'logits/rejected': -3.1474711894989014, 'beta_dpo/beta': 0.10045399516820908, 'beta_dpo/loss_margin_mean': 0.04471883177757263, 'beta_dpo/beta_margin_mean': 0.004481919575482607, 'beta_dpo/beta_margin_std': 0.02354278229176998, 'beta_dpo/beta_margin_grad_mean': -0.49887970089912415, 'beta_dpo/beta_margin_grad_std': 0.005884926300495863, 'epoch': 0.01}
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1%|█▎ | 8/681 [00:20<27:34, 2.46s/it]
{'loss': 1.3927, 'grad_norm': 163.31930541992188, 'learning_rate': 5.0724637681159424e-08, 'beta_dpo/gap_mean': -0.0014673962723463774, 'beta_dpo/gap_std': 0.20564857125282288, 'beta_dpo/beta_used_raw': 0.09605514258146286, 'beta_dpo/beta_used': 0.09605514258146286, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.198502540588379, 'logits/rejected': -3.1550021171569824, 'beta_dpo/beta': 0.09605514258146286, 'beta_dpo/loss_margin_mean': -0.052922144532203674, 'beta_dpo/beta_margin_mean': -0.005007945001125336, 'beta_dpo/beta_margin_std': 0.02438473515212536, 'beta_dpo/beta_margin_grad_mean': -0.5012519359588623, 'beta_dpo/beta_margin_grad_std': 0.006095360033214092, 'epoch': 0.01}
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1%|█▌ | 9/681 [00:23<28:05, 2.51s/it]
{'loss': 1.3867, 'grad_norm': 181.66322326660156, 'learning_rate': 5.797101449275362e-08, 'beta_dpo/gap_mean': -0.007042712531983852, 'beta_dpo/gap_std': 0.21777689456939697, 'beta_dpo/beta_used_raw': 0.10017342120409012, 'beta_dpo/beta_used': 0.10017342120409012, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.1416659355163574, 'logits/rejected': -3.1250786781311035, 'beta_dpo/beta': 0.10017342120409012, 'beta_dpo/loss_margin_mean': -0.0016328543424606323, 'beta_dpo/beta_margin_mean': -4.894528683507815e-05, 'beta_dpo/beta_margin_std': 0.02714758738875389, 'beta_dpo/beta_margin_grad_mean': -0.5000122785568237, 'beta_dpo/beta_margin_grad_std': 0.006785591598600149, 'epoch': 0.01}
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1%|█▋ | 10/681 [00:26<28:31, 2.55s/it]
{'loss': 1.3884, 'grad_norm': 168.22305297851562, 'learning_rate': 6.521739130434782e-08, 'beta_dpo/gap_mean': -0.006503046490252018, 'beta_dpo/gap_std': 0.21944838762283325, 'beta_dpo/beta_used_raw': 0.09914623945951462, 'beta_dpo/beta_used': 0.09914623945951462, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.10261869430542, 'logits/rejected': -3.080986499786377, 'beta_dpo/beta': 0.09914623945951462, 'beta_dpo/loss_margin_mean': -0.02211102843284607, 'beta_dpo/beta_margin_mean': -0.0021829898469150066, 'beta_dpo/beta_margin_std': 0.021049022674560547, 'beta_dpo/beta_margin_grad_mean': -0.5005456805229187, 'beta_dpo/beta_margin_grad_std': 0.005261780694127083, 'epoch': 0.01}
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1%|█▋ | 10/681 [00:26<28:31, 2.55s/it]
2%|█▊ | 11/681 [00:28<28:54, 2.59s/it]
{'loss': 1.3796, 'grad_norm': 186.03494262695312, 'learning_rate': 7.246376811594203e-08, 'beta_dpo/gap_mean': 0.002864137524738908, 'beta_dpo/gap_std': 0.22579887509346008, 'beta_dpo/beta_used_raw': 0.10375332087278366, 'beta_dpo/beta_used': 0.10375332087278366, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.155540943145752, 'logits/rejected': -3.142815113067627, 'beta_dpo/beta': 0.10375332087278366, 'beta_dpo/loss_margin_mean': 0.06643152236938477, 'beta_dpo/beta_margin_mean': 0.00689197052270174, 'beta_dpo/beta_margin_std': 0.026165250688791275, 'beta_dpo/beta_margin_grad_mean': -0.49827736616134644, 'beta_dpo/beta_margin_grad_std': 0.006540252361446619, 'epoch': 0.02}
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2%|█▊ | 11/681 [00:28<28:54, 2.59s/it]
2%|██ | 12/681 [00:31<28:29, 2.56s/it]
{'loss': 1.3828, 'grad_norm': 202.00311279296875, 'learning_rate': 7.971014492753623e-08, 'beta_dpo/gap_mean': 0.01069832406938076, 'beta_dpo/gap_std': 0.23313455283641815, 'beta_dpo/beta_used_raw': 0.10144880414009094, 'beta_dpo/beta_used': 0.10144880414009094, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -3.1653075218200684, 'logits/rejected': -3.153486967086792, 'beta_dpo/beta': 0.10144880414009094, 'beta_dpo/loss_margin_mean': 0.037982091307640076, 'beta_dpo/beta_margin_mean': 0.003841817146167159, 'beta_dpo/beta_margin_std': 0.02776145376265049, 'beta_dpo/beta_margin_grad_mean': -0.49903959035873413, 'beta_dpo/beta_margin_grad_std': 0.006939120590686798, 'epoch': 0.02}
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4%|████▏ | 25/681 [01:04<28:33, 2.61s/it]
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4%|████▍ | 26/681 [01:06<27:40, 2.53s/it]
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4%|████▌ | 27/681 [01:09<27:20, 2.51s/it]
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4%|████▋ | 28/681 [01:12<27:35, 2.53s/it]
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4%|████▉ | 29/681 [01:14<26:56, 2.48s/it]
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4%|█████ | 30/681 [01:16<27:11, 2.51s/it]
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5%|█████▏ | 31/681 [01:19<27:24, 2.53s/it]
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5%|█████▍ | 32/681 [01:22<27:11, 2.51s/it]
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5%|█████▌ | 33/681 [01:24<26:55, 2.49s/it]
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8%|████████▉ | 53/681 [02:13<26:20, 2.52s/it]
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8%|█████████ | 54/681 [02:15<25:47, 2.47s/it]
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{'loss': 1.344, 'grad_norm': 4.450385570526123, 'learning_rate': 4.979441529392784e-07, 'beta_dpo/gap_mean': 57.458091735839844, 'beta_dpo/gap_std': 58.81836700439453, 'beta_dpo/beta_used_raw': -0.7674299478530884, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.855530261993408, 'logits/rejected': -2.8571863174438477, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 59.51054763793945, 'beta_dpo/beta_margin_mean': 0.059510547667741776, 'beta_dpo/beta_margin_std': 0.061817847192287445, 'beta_dpo/beta_margin_grad_mean': -0.4851512312889099, 'beta_dpo/beta_margin_grad_std': 0.015362189151346684, 'epoch': 0.14}
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{'loss': 1.3426, 'grad_norm': 4.7258100509643555, 'learning_rate': 4.977766449015534e-07, 'beta_dpo/gap_mean': 58.48717498779297, 'beta_dpo/gap_std': 60.73028564453125, 'beta_dpo/beta_used_raw': -0.7220409512519836, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.904493570327759, 'logits/rejected': -2.9026832580566406, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 65.3349380493164, 'beta_dpo/beta_margin_mean': 0.06533493846654892, 'beta_dpo/beta_margin_std': 0.07974996417760849, 'beta_dpo/beta_margin_grad_mean': -0.4837089478969574, 'beta_dpo/beta_margin_grad_std': 0.01984335109591484, 'epoch': 0.14}
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{'loss': 0.9284, 'grad_norm': 179.77455139160156, 'learning_rate': 4.976026077188012e-07, 'beta_dpo/gap_mean': 59.17014694213867, 'beta_dpo/gap_std': 62.05863952636719, 'beta_dpo/beta_used_raw': -0.17043042182922363, 'beta_dpo/beta_used': 0.11098214983940125, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.905517578125, 'logits/rejected': -2.897564649581909, 'beta_dpo/beta': 0.11098214983940125, 'beta_dpo/loss_margin_mean': 67.58939361572266, 'beta_dpo/beta_margin_mean': 8.650201797485352, 'beta_dpo/beta_margin_std': 13.248647689819336, 'beta_dpo/beta_margin_grad_mean': -0.2807328701019287, 'beta_dpo/beta_margin_grad_std': 0.2636745870113373, 'epoch': 0.14}
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{'loss': 1.6259, 'grad_norm': 1460.3056640625, 'learning_rate': 4.974220459770639e-07, 'beta_dpo/gap_mean': 60.218910217285156, 'beta_dpo/gap_std': 62.831886291503906, 'beta_dpo/beta_used_raw': 0.49735867977142334, 'beta_dpo/beta_used': 0.49735867977142334, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.874201774597168, 'logits/rejected': -2.884645462036133, 'beta_dpo/beta': 0.49735867977142334, 'beta_dpo/loss_margin_mean': 62.66773223876953, 'beta_dpo/beta_margin_mean': 29.118545532226562, 'beta_dpo/beta_margin_std': 44.36186599731445, 'beta_dpo/beta_margin_grad_mean': -0.13786101341247559, 'beta_dpo/beta_margin_grad_std': 0.32877954840660095, 'epoch': 0.14}
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15%|████████████████▋ | 99/681 [04:07<24:00, 2.48s/it]
{'loss': 0.4593, 'grad_norm': 384.5785217285156, 'learning_rate': 4.972349644343108e-07, 'beta_dpo/gap_mean': 63.37742614746094, 'beta_dpo/gap_std': 64.15032958984375, 'beta_dpo/beta_used_raw': 0.27869686484336853, 'beta_dpo/beta_used': 0.27869686484336853, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.845553398132324, 'logits/rejected': -2.8533787727355957, 'beta_dpo/beta': 0.27869686484336853, 'beta_dpo/loss_margin_mean': 77.13097381591797, 'beta_dpo/beta_margin_mean': 21.852785110473633, 'beta_dpo/beta_margin_std': 22.130836486816406, 'beta_dpo/beta_margin_grad_mean': -0.07528817653656006, 'beta_dpo/beta_margin_grad_std': 0.24065373837947845, 'epoch': 0.15}
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15%|████████████████▋ | 100/681 [04:10<23:27, 2.42s/it]
{'loss': 1.3346, 'grad_norm': 5.179396629333496, 'learning_rate': 4.970413680203148e-07, 'beta_dpo/gap_mean': 61.136131286621094, 'beta_dpo/gap_std': 64.02367401123047, 'beta_dpo/beta_used_raw': -0.3977210819721222, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.8722152709960938, 'logits/rejected': -2.8694002628326416, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 47.13050842285156, 'beta_dpo/beta_margin_mean': 0.047130510210990906, 'beta_dpo/beta_margin_std': 0.06143619865179062, 'beta_dpo/beta_margin_grad_mean': -0.4882340431213379, 'beta_dpo/beta_margin_grad_std': 0.015319556929171085, 'epoch': 0.15}
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15%|████████████████▋ | 100/681 [04:10<23:27, 2.42s/it][INFO|trainer.py:4307] 2026-04-18 06:09:54,328 >>
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***** Running Evaluation *****
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[INFO|trainer.py:4309] 2026-04-18 06:09:54,328 >> Num examples = 2339
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[INFO|trainer.py:4312] 2026-04-18 06:09:54,328 >> Batch size = 8
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[A{'eval_loss': 0.7824556827545166, 'eval_runtime': 37.8912, 'eval_samples_per_second': 61.729, 'eval_steps_per_second': 1.953, 'eval_beta_dpo/beta': 0.021090898662805557, 'eval_beta_dpo/loss_margin_mean': 38.69658660888672, 'eval_beta_dpo/beta_margin_mean': 1.4684983491897583, 'eval_beta_dpo/beta_margin_std': 2.0474720001220703, 'eval_beta_dpo/beta_margin_grad_mean': -0.4726831018924713, 'eval_beta_dpo/beta_margin_grad_std': 0.04030865803360939, 'eval_beta_dpo/gap_mean': 60.651268005371094, 'eval_beta_dpo/gap_std': 63.85259246826172, 'eval_beta_dpo/beta_used_raw': -1.2172808647155762, 'eval_beta_dpo/beta_used': 0.021090898662805557, 'eval_beta_dpo/mask_keep_frac': 1.0, 'eval_logits/chosen': -2.9129130840301514, 'eval_logits/rejected': -2.903272867202759, 'epoch': 0.15}
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100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 73/73 [00:37<00:00, 2.02it/s][A
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15%|████████████████▌ | 101/681 [04:50<2:13:23, 13.80s/it]
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15%|████████████████▊ | 102/681 [04:52<1:40:14, 10.39s/it]
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15%|████████████████▉ | 103/681 [04:55<1:17:18, 8.02s/it]
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15%|█████████████████ | 104/681 [04:57<1:00:31, 6.29s/it]
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15%|█████████████████▌ | 105/681 [05:00<48:50, 5.09s/it]
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16%|█████████████████▋ | 106/681 [05:02<41:36, 4.34s/it]
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16%|█████████████████▉ | 107/681 [05:04<35:47, 3.74s/it]
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16%|██████████████████ | 108/681 [05:07<32:13, 3.37s/it]
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16%|██████████████████▏ | 109/681 [05:10<29:53, 3.14s/it]
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16%|██████████████████▍ | 110/681 [05:12<28:02, 2.95s/it]
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16%|██████████████████▌ | 111/681 [05:15<26:42, 2.81s/it]
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16%|██████████████████▋ | 112/681 [05:17<25:37, 2.70s/it]
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17%|██████████████████▉ | 113/681 [05:20<25:04, 2.65s/it]
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17%|███████████████████ | 114/681 [05:22<23:46, 2.52s/it]
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17%|███████████████████▎ | 115/681 [05:24<23:50, 2.53s/it]
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17%|███████████████████▌ | 117/681 [05:29<23:01, 2.45s/it]
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21%|████████████████████████ | 144/681 [06:37<22:56, 2.56s/it]
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22%|█████████████████████████ | 150/681 [06:51<22:14, 2.51s/it]
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23%|██████████████████████████▎ | 157/681 [07:09<21:08, 2.42s/it]
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23%|██████████████████████████▊ | 160/681 [07:16<20:59, 2.42s/it]
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24%|███████████████████████████ | 162/681 [07:21<21:08, 2.44s/it]
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24%|███████████████████████████▍ | 164/681 [07:25<20:24, 2.37s/it]
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24%|███████████████████████████▌ | 165/681 [07:28<20:52, 2.43s/it]
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24%|███████████████████████████▊ | 166/681 [07:31<21:34, 2.51s/it]
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24%|███████████████████████████▊ | 166/681 [07:31<21:34, 2.51s/it]
25%|███████████████████████████▉ | 167/681 [07:33<21:39, 2.53s/it]
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25%|███████████████████████████▉ | 167/681 [07:33<21:39, 2.53s/it]
25%|████████████████████████████ | 168/681 [07:36<21:31, 2.52s/it]
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25%|████████████████████████████▎ | 169/681 [07:38<21:37, 2.53s/it]
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25%|████████████████████████████▎ | 169/681 [07:38<21:37, 2.53s/it]
25%|████████████████████████████▍ | 170/681 [07:41<21:19, 2.50s/it]
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25%|████████████████████████████▋ | 171/681 [07:43<20:48, 2.45s/it]
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25%|████████████████████████████▋ | 171/681 [07:43<20:48, 2.45s/it]
25%|████████████████████████████▊ | 172/681 [07:46<20:46, 2.45s/it]
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25%|████████████████████████████▊ | 172/681 [07:46<20:46, 2.45s/it]
25%|████████████████████████████▉ | 173/681 [07:48<20:49, 2.46s/it]
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25%|████████████████████████████▉ | 173/681 [07:48<20:49, 2.46s/it]
26%|█████████████████████████████▏ | 174/681 [07:50<20:38, 2.44s/it]
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26%|█████████████████████████████▏ | 174/681 [07:51<20:38, 2.44s/it]
26%|█████████████████████████████▎ | 175/681 [07:53<20:30, 2.43s/it]
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26%|█████████████████████████████▎ | 175/681 [07:53<20:30, 2.43s/it]
26%|█████████████████████████████▍ | 176/681 [07:55<20:09, 2.40s/it]
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26%|█████████████████████████████▍ | 176/681 [07:55<20:09, 2.40s/it]
26%|█████████████████████████████▋ | 177/681 [07:58<20:33, 2.45s/it]
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26%|█████████████████████████████▋ | 177/681 [07:58<20:33, 2.45s/it]
26%|█████████████████████████████▊ | 178/681 [08:00<20:23, 2.43s/it]
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26%|█████████████████████████████▊ | 178/681 [08:00<20:23, 2.43s/it]
26%|█████████████████████████████▉ | 179/681 [08:03<21:04, 2.52s/it]
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26%|█████████████████████████████▉ | 179/681 [08:03<21:04, 2.52s/it]
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26%|██████████████████████████████▏ | 180/681 [08:05<20:49, 2.49s/it]
27%|██████████████████████████████▎ | 181/681 [08:08<21:00, 2.52s/it]
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27%|██████████████████████████████▎ | 181/681 [08:08<21:00, 2.52s/it]
27%|██████████████████████████████▍ | 182/681 [08:10<20:45, 2.50s/it]
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27%|██████████████████████████████▍ | 182/681 [08:10<20:45, 2.50s/it]
27%|██████████████████████████████▋ | 183/681 [08:13<19:59, 2.41s/it]
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27%|██████████████████████████████▋ | 183/681 [08:13<19:59, 2.41s/it]
27%|██████████████████████████████▊ | 184/681 [08:15<19:50, 2.40s/it]
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27%|██████████████████████████████▊ | 184/681 [08:15<19:50, 2.40s/it]
27%|██████████████████████████████▉ | 185/681 [08:17<19:57, 2.41s/it]
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27%|██████████████████████████████▉ | 185/681 [08:17<19:57, 2.41s/it]
27%|███████████████████████████████▏ | 186/681 [08:20<20:03, 2.43s/it]
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27%|███████████████████████████████▏ | 186/681 [08:20<20:03, 2.43s/it]
27%|███████████████████████████████▎ | 187/681 [08:22<19:30, 2.37s/it]
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27%|███████████████████████████████▎ | 187/681 [08:22<19:30, 2.37s/it]
28%|███████████████████████████████▍ | 188/681 [08:25<19:54, 2.42s/it]
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28%|███████████████████████████████▍ | 188/681 [08:25<19:54, 2.42s/it]
28%|███████████████████████████████▋ | 189/681 [08:27<19:16, 2.35s/it]
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28%|███████████████████████████████▋ | 189/681 [08:27<19:16, 2.35s/it]
28%|███████████████████████████████▊ | 190/681 [08:29<19:20, 2.36s/it]
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28%|███████████████████████████████▊ | 190/681 [08:29<19:20, 2.36s/it]
28%|███████████████████████████████▉ | 191/681 [08:32<20:04, 2.46s/it]
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28%|███████████████████████████████▉ | 191/681 [08:32<20:04, 2.46s/it]
28%|████████████████████████████████▏ | 192/681 [08:35<20:37, 2.53s/it]
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28%|████████████████████████████████▏ | 192/681 [08:35<20:37, 2.53s/it]
28%|████████████████████████████████▎ | 193/681 [08:37<20:20, 2.50s/it]
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28%|████████████████████████████████▎ | 193/681 [08:37<20:20, 2.50s/it]
28%|████████████████████████████████▍ | 194/681 [08:39<20:01, 2.47s/it]
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28%|████████████████████████████████▍ | 194/681 [08:39<20:01, 2.47s/it]
29%|████████████████████████████████▋ | 195/681 [08:42<19:58, 2.47s/it]
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29%|████████████████████████████████▋ | 195/681 [08:42<19:58, 2.47s/it]
29%|████████████████████████████████▊ | 196/681 [08:44<20:00, 2.47s/it]
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29%|████████████████████████████████▊ | 196/681 [08:44<20:00, 2.47s/it]
29%|████████████████████████████████▉ | 197/681 [08:47<20:00, 2.48s/it]
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29%|████████████████████████████████▉ | 197/681 [08:47<20:00, 2.48s/it]
29%|█████████████████████████████████▏ | 198/681 [08:49<20:01, 2.49s/it]
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29%|█████████████████████████████████▏ | 198/681 [08:49<20:01, 2.49s/it]
29%|█████████████████████████████████▎ | 199/681 [08:52<19:59, 2.49s/it]
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{'loss': 1.265, 'grad_norm': 12.505084037780762, 'learning_rate': 4.4636895135509966e-07, 'beta_dpo/gap_mean': 178.69091796875, 'beta_dpo/gap_std': 183.65151977539062, 'beta_dpo/beta_used_raw': -2.7534046173095703, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.274620532989502, 'logits/rejected': -2.277723789215088, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 153.14218139648438, 'beta_dpo/beta_margin_mean': 0.15314218401908875, 'beta_dpo/beta_margin_std': 0.23340220749378204, 'beta_dpo/beta_margin_grad_mean': -0.46233460307121277, 'beta_dpo/beta_margin_grad_std': 0.056460920721292496, 'epoch': 0.29}
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***** Running Evaluation *****
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[INFO|trainer.py:4309] 2026-04-18 06:14:38,856 >> Num examples = 2339
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[INFO|trainer.py:4312] 2026-04-18 06:14:38,856 >> Batch size = 8
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[A{'eval_loss': 1.2116435766220093, 'eval_runtime': 37.7898, 'eval_samples_per_second': 61.895, 'eval_steps_per_second': 1.958, 'eval_beta_dpo/beta': 0.041580744087696075, 'eval_beta_dpo/loss_margin_mean': 108.90614318847656, 'eval_beta_dpo/beta_margin_mean': 8.074563980102539, 'eval_beta_dpo/beta_margin_std': 10.459110260009766, 'eval_beta_dpo/beta_margin_grad_mean': -0.4593558609485626, 'eval_beta_dpo/beta_margin_grad_std': 0.06084528937935829, 'eval_beta_dpo/gap_mean': 175.91966247558594, 'eval_beta_dpo/gap_std': 183.71018981933594, 'eval_beta_dpo/beta_used_raw': -3.920811414718628, 'eval_beta_dpo/beta_used': 0.041580744087696075, 'eval_beta_dpo/mask_keep_frac': 1.0, 'eval_logits/chosen': -2.311591863632202, 'eval_logits/rejected': -2.305934429168701, 'epoch': 0.29}
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[A[INFO|trainer.py:3984] 2026-04-18 06:15:30,790 >> Saving model checkpoint to /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-200
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[INFO|configuration_utils.py:419] 2026-04-18 06:15:30,797 >> Configuration saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-200/config.json
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[INFO|configuration_utils.py:911] 2026-04-18 06:15:30,809 >> Configuration saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-200/generation_config.json
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[INFO|modeling_utils.py:3580] 2026-04-18 06:16:09,584 >> The model is bigger than the maximum size per checkpoint (5GB) and is going to be split in 6 checkpoint shards. You can find where each parameters has been saved in the index located at /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-200/model.safetensors.index.json.
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[INFO|tokenization_utils_base.py:2510] 2026-04-18 06:16:09,594 >> tokenizer config file saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-200/tokenizer_config.json
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[INFO|tokenization_utils_base.py:2519] 2026-04-18 06:16:09,598 >> Special tokens file saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-200/special_tokens_map.json
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{'loss': 1.2403, 'grad_norm': 14.165757179260254, 'learning_rate': 4.455721242469372e-07, 'beta_dpo/gap_mean': 175.1689453125, 'beta_dpo/gap_std': 188.05361938476562, 'beta_dpo/beta_used_raw': -1.0059877634048462, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3472347259521484, 'logits/rejected': -2.3590919971466064, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 178.3182373046875, 'beta_dpo/beta_margin_mean': 0.17831824719905853, 'beta_dpo/beta_margin_std': 0.21344201266765594, 'beta_dpo/beta_margin_grad_mean': -0.45610305666923523, 'beta_dpo/beta_margin_grad_std': 0.05195591226220131, 'epoch': 0.3}
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{'loss': 2.1346, 'grad_norm': 2054.255126953125, 'learning_rate': 4.4477014363141755e-07, 'beta_dpo/gap_mean': 177.89190673828125, 'beta_dpo/gap_std': 191.12405395507812, 'beta_dpo/beta_used_raw': -1.1798573732376099, 'beta_dpo/beta_used': 0.16364361345767975, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.2713704109191895, 'logits/rejected': -2.2855608463287354, 'beta_dpo/beta': 0.16364361345767975, 'beta_dpo/loss_margin_mean': 183.90859985351562, 'beta_dpo/beta_margin_mean': 30.87427520751953, 'beta_dpo/beta_margin_std': 56.27296447753906, 'beta_dpo/beta_margin_grad_mean': -0.28894707560539246, 'beta_dpo/beta_margin_grad_std': 0.28408119082450867, 'epoch': 0.3}
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{'loss': 1.9171, 'grad_norm': 2106.6591796875, 'learning_rate': 4.439630306414758e-07, 'beta_dpo/gap_mean': 180.37454223632812, 'beta_dpo/gap_std': 190.1531524658203, 'beta_dpo/beta_used_raw': -0.3622090816497803, 'beta_dpo/beta_used': 0.19677655398845673, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.2831432819366455, 'logits/rejected': -2.294023275375366, 'beta_dpo/beta': 0.19677655398845673, 'beta_dpo/loss_margin_mean': 188.07620239257812, 'beta_dpo/beta_margin_mean': 41.14481735229492, 'beta_dpo/beta_margin_std': 74.64393615722656, 'beta_dpo/beta_margin_grad_mean': -0.30733898282051086, 'beta_dpo/beta_margin_grad_std': 0.29845014214515686, 'epoch': 0.3}
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30%|█████████████████████████████████▋ | 205/681 [13:13<2:40:56, 20.29s/it]
30%|█████████████████████████████████▉ | 206/681 [13:15<1:58:01, 14.91s/it]
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30%|█████████████████████████████████▉ | 206/681 [13:15<1:58:01, 14.91s/it]
30%|██████████████████████████████████ | 207/681 [13:18<1:28:28, 11.20s/it]
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30%|██████████████████████████████████ | 207/681 [13:18<1:28:28, 11.20s/it]
31%|██████████████████████████████████▏ | 208/681 [13:20<1:07:43, 8.59s/it]
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31%|██████████████████████████████████▏ | 208/681 [13:20<1:07:43, 8.59s/it]
31%|██████████████████████████████████▉ | 209/681 [13:23<53:01, 6.74s/it]
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31%|██████████████████████████████████▉ | 209/681 [13:23<53:01, 6.74s/it]
31%|███████████████████████████████████▏ | 210/681 [13:25<42:48, 5.45s/it]
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31%|███████████████████████████████████▏ | 210/681 [13:25<42:48, 5.45s/it]
31%|███████████████████████████████████▎ | 211/681 [13:28<35:43, 4.56s/it]
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31%|███████████████████████████████████▎ | 211/681 [13:28<35:43, 4.56s/it]
31%|███████████████████████████████████▍ | 212/681 [13:30<30:56, 3.96s/it]
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31%|███████████████████████████████████▍ | 212/681 [13:30<30:56, 3.96s/it]
31%|███████████████████████████████████▋ | 213/681 [13:33<27:30, 3.53s/it]
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31%|███████████████████████████████████▋ | 213/681 [13:33<27:30, 3.53s/it]
31%|███████████████████████████████████▊ | 214/681 [13:35<25:09, 3.23s/it]
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31%|███████████████████████████████████▊ | 214/681 [13:35<25:09, 3.23s/it]
32%|███████████████████████████████████▉ | 215/681 [13:38<23:29, 3.02s/it]
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32%|███████████████████████████████████▉ | 215/681 [13:38<23:29, 3.02s/it]
32%|████████████████████████████████████▏ | 216/681 [13:41<22:42, 2.93s/it]
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32%|████████████████████████████████████▏ | 216/681 [13:41<22:42, 2.93s/it]
32%|████████████████████████████████████▎ | 217/681 [13:43<21:47, 2.82s/it]
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32%|████████████████████████████████████▎ | 217/681 [13:43<21:47, 2.82s/it]
32%|████████████████████████████████████▍ | 218/681 [13:45<20:31, 2.66s/it]
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32%|████████████████████████████████████▍ | 218/681 [13:45<20:31, 2.66s/it]
32%|████████████████████████████████████▋ | 219/681 [13:48<20:12, 2.63s/it]
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32%|████████████████████████████████████▋ | 219/681 [13:48<20:12, 2.63s/it]
32%|████████████████████████████████████▊ | 220/681 [13:50<19:52, 2.59s/it]
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32%|████████████████████████████████████▊ | 220/681 [13:50<19:52, 2.59s/it]
32%|████████████████████████████████████▉ | 221/681 [13:53<19:32, 2.55s/it]
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32%|████████████████████████████████████▉ | 221/681 [13:53<19:32, 2.55s/it]
33%|█████████████████████████████████████▏ | 222/681 [13:55<19:17, 2.52s/it]
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33%|█████████████████████████████████████▏ | 222/681 [13:55<19:17, 2.52s/it]
33%|█████████████████████████████████████▎ | 223/681 [13:57<18:27, 2.42s/it]
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33%|█████████████████████████████████████▎ | 223/681 [13:58<18:27, 2.42s/it]
33%|█████████████████████████████████████▍ | 224/681 [14:00<17:50, 2.34s/it]
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33%|█████████████████████████████████████▍ | 224/681 [14:00<17:50, 2.34s/it]
33%|█████████████████████████████████████▋ | 225/681 [14:02<17:49, 2.34s/it]
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33%|█████████████████████████████████████▋ | 225/681 [14:02<17:49, 2.34s/it]
33%|█████████████████████████████████████▊ | 226/681 [14:05<18:06, 2.39s/it]
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33%|█████████████████████████████████████▊ | 226/681 [14:05<18:06, 2.39s/it]
33%|██████████████████████████████████████ | 227/681 [14:07<18:39, 2.47s/it]
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33%|██████████████████████████████████████ | 227/681 [14:07<18:39, 2.47s/it]
33%|██████████████████████████████████████▏ | 228/681 [14:10<18:42, 2.48s/it]
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33%|██████████████████████████████████████▏ | 228/681 [14:10<18:42, 2.48s/it]
34%|██████████████████████████████████████▎ | 229/681 [14:12<18:50, 2.50s/it]
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34%|██████████████████████████████████████▎ | 229/681 [14:12<18:50, 2.50s/it]
34%|██████████████████████████████████████▌ | 230/681 [14:15<18:44, 2.49s/it]
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34%|██████████████████████████████████████▌ | 230/681 [14:15<18:44, 2.49s/it]
34%|██████████████████████████████████████▋ | 231/681 [14:17<18:56, 2.53s/it]
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34%|██████████████████████████████████████▋ | 231/681 [14:17<18:56, 2.53s/it]
34%|██████████████████████████████████████▊ | 232/681 [14:20<18:47, 2.51s/it]
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34%|██████████████████████████████████████▊ | 232/681 [14:20<18:47, 2.51s/it]
34%|███████████████████████████████████████ | 233/681 [14:22<18:49, 2.52s/it]
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34%|███████████████████████████████████████ | 233/681 [14:22<18:49, 2.52s/it]
34%|███████████████████████████████████████▏ | 234/681 [14:25<18:52, 2.53s/it]
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34%|███████████████████████████████████████▏ | 234/681 [14:25<18:52, 2.53s/it]
35%|███████████████████████████████████████▎ | 235/681 [14:27<18:38, 2.51s/it]
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35%|███████████████████████████████████████▎ | 235/681 [14:27<18:38, 2.51s/it]
35%|███████████████████████████████████████▌ | 236/681 [14:30<18:22, 2.48s/it]
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35%|███████████████████████████████████████▌ | 236/681 [14:30<18:22, 2.48s/it]
35%|███████████████████████████████████████▋ | 237/681 [14:32<18:28, 2.50s/it]
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35%|███████████████████████████████████████▋ | 237/681 [14:32<18:28, 2.50s/it]
35%|███████████████████████████████████████▊ | 238/681 [14:35<18:42, 2.53s/it]
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35%|███████████████████████████████████████▊ | 238/681 [14:35<18:42, 2.53s/it]
35%|████████████████████████████████████████ | 239/681 [14:37<18:39, 2.53s/it]
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35%|████████████████████████████████████████ | 239/681 [14:37<18:39, 2.53s/it]
35%|████████████████████████████████████████▏ | 240/681 [14:40<18:26, 2.51s/it]
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35%|████████████████████████████████████████▏ | 240/681 [14:40<18:26, 2.51s/it]
35%|████████████████████████████████████████▎ | 241/681 [14:42<18:36, 2.54s/it]
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35%|████████████████████████████████████████▎ | 241/681 [14:43<18:36, 2.54s/it]
36%|████████████████████████████████████████▌ | 242/681 [14:45<18:24, 2.51s/it]
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36%|████████████████████████████████████████▌ | 242/681 [14:45<18:24, 2.51s/it]
36%|████████████████████████████████████████▋ | 243/681 [14:47<18:13, 2.50s/it]
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36%|████████████████████████████████████████▋ | 243/681 [14:47<18:13, 2.50s/it]
36%|████████████████████████████████████████▊ | 244/681 [14:50<18:10, 2.49s/it]
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36%|████████████████████████████████████████▊ | 244/681 [14:50<18:10, 2.49s/it]
36%|█████████████████████████████████████████ | 245/681 [14:52<18:05, 2.49s/it]
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36%|█████████████████████████████████████████ | 245/681 [14:52<18:05, 2.49s/it]
36%|█████████████████████████████████████████▏ | 246/681 [14:55<18:12, 2.51s/it]
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36%|█████████████████████████████████████████▏ | 246/681 [14:55<18:12, 2.51s/it]
36%|█████████████████████████████████████████▎ | 247/681 [14:57<17:36, 2.43s/it]
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36%|█████████████████████████████████████████▎ | 247/681 [14:57<17:36, 2.43s/it]
36%|█████████████████████████████████████████▌ | 248/681 [15:00<17:31, 2.43s/it]
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36%|█████████████████████████████████████████▌ | 248/681 [15:00<17:31, 2.43s/it]
37%|█████████████████████████████████████████▋ | 249/681 [15:02<17:45, 2.47s/it]
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37%|█████████████████████████████████████████▋ | 249/681 [15:02<17:45, 2.47s/it]
37%|█████████████████████████████████████████▊ | 250/681 [15:05<18:00, 2.51s/it]
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37%|█████████████████████████████████████████▊ | 250/681 [15:05<18:00, 2.51s/it]
37%|██████████████████████████████████████████ | 251/681 [15:07<17:40, 2.47s/it]
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37%|██████████████████████████████████████████ | 251/681 [15:07<17:40, 2.47s/it]
37%|██████████████████████████████████████████▏ | 252/681 [15:10<18:17, 2.56s/it]
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37%|██████████████████████████████████████████▏ | 252/681 [15:10<18:17, 2.56s/it]
37%|██████████████████████████████████████████▎ | 253/681 [15:12<18:15, 2.56s/it]
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37%|██████████████████████████████████████████▎ | 253/681 [15:12<18:15, 2.56s/it]
37%|██████████████████████████████████████████▌ | 254/681 [15:15<18:12, 2.56s/it]
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37%|██████████████████████████████████████████▌ | 254/681 [15:15<18:12, 2.56s/it]
37%|██████████████████████████████████████████▋ | 255/681 [15:17<17:56, 2.53s/it]
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37%|██████████████████████████████████████████▋ | 255/681 [15:18<17:56, 2.53s/it]
38%|██████████████████████████████████████████▊ | 256/681 [15:20<17:18, 2.44s/it]
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38%|██████████████████████████████████████████▊ | 256/681 [15:20<17:18, 2.44s/it]
38%|███████████████████████████████████████████ | 257/681 [15:22<17:34, 2.49s/it]
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38%|███████████████████████████████████████████ | 257/681 [15:22<17:34, 2.49s/it]
38%|███████████████████████████████████████████▏ | 258/681 [15:25<17:06, 2.43s/it]
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38%|███████████████████████████████████████████▏ | 258/681 [15:25<17:06, 2.43s/it]
38%|███████████████████████████████████████████▎ | 259/681 [15:27<17:08, 2.44s/it]
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38%|███████████████████████████████████████████▎ | 259/681 [15:27<17:08, 2.44s/it]
38%|███████████████████████████████████████████▌ | 260/681 [15:30<17:18, 2.47s/it]
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38%|███████████████████████████████████████████▌ | 260/681 [15:30<17:18, 2.47s/it]
38%|███████████████████████████████████████████▋ | 261/681 [15:32<16:56, 2.42s/it]
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38%|███████████████████████████████████████████▋ | 261/681 [15:32<16:56, 2.42s/it]
38%|███████████████████████████████████████████▊ | 262/681 [15:35<17:20, 2.48s/it]
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38%|███████████████████████████████████████████▊ | 262/681 [15:35<17:20, 2.48s/it]
39%|████████████████████████████████████████████ | 263/681 [15:37<17:38, 2.53s/it]
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39%|████████████████████████████████████████████ | 263/681 [15:37<17:38, 2.53s/it]
39%|████████████████████████████████████████████▏ | 264/681 [15:40<17:39, 2.54s/it]
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39%|████████████████████████████████████████████▏ | 264/681 [15:40<17:39, 2.54s/it]
39%|████████████████████████████████████████████▎ | 265/681 [15:42<17:24, 2.51s/it]
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39%|████████████████████████████████████████████▎ | 265/681 [15:42<17:24, 2.51s/it]
39%|████████████████████████████████████████████▌ | 266/681 [15:45<17:26, 2.52s/it]
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39%|████████████████████████████████████████████▌ | 266/681 [15:45<17:26, 2.52s/it]
39%|████████████████████████████████████████████▋ | 267/681 [15:47<17:18, 2.51s/it]
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39%|████████████████████████████████████████████▋ | 267/681 [15:47<17:18, 2.51s/it]
39%|████████████████████████████████████████████▊ | 268/681 [15:50<17:08, 2.49s/it]
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39%|████████████████████████████████████████████▊ | 268/681 [15:50<17:08, 2.49s/it]
40%|█████████████████████████████████████████████ | 269/681 [15:52<16:56, 2.47s/it]
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40%|█████████████████████████████████████████████ | 269/681 [15:52<16:56, 2.47s/it]
40%|█████████████████████████████████████████████▏ | 270/681 [15:55<17:00, 2.48s/it]
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40%|█████████████████████████████████████████████▏ | 270/681 [15:55<17:00, 2.48s/it]
40%|█████████████████████████████████████████████▎ | 271/681 [15:57<16:52, 2.47s/it]
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40%|█████████████████████████████████████████████▎ | 271/681 [15:57<16:52, 2.47s/it]
40%|█████████████████████████████████████████████▌ | 272/681 [16:00<16:59, 2.49s/it]
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40%|█████████████████████████████████████████████▌ | 272/681 [16:00<16:59, 2.49s/it]
40%|█████████████████████████████████████████████▋ | 273/681 [16:02<16:56, 2.49s/it]
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40%|█████████████████████████████████████████████▋ | 273/681 [16:02<16:56, 2.49s/it]
40%|█████████████████████████████████████████████▊ | 274/681 [16:05<17:25, 2.57s/it]
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40%|█████████████████████████████████████████████▊ | 274/681 [16:05<17:25, 2.57s/it]
40%|██████████████████████████████████████████████ | 275/681 [16:07<17:26, 2.58s/it]
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40%|██████████████████████████████████████████████ | 275/681 [16:07<17:26, 2.58s/it]
41%|██████████████████████████████████████████████▏ | 276/681 [16:10<17:02, 2.52s/it]
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41%|██████████████████████████████████████████████▏ | 276/681 [16:10<17:02, 2.52s/it]
41%|██████████████████████████████████████████████▎ | 277/681 [16:12<16:26, 2.44s/it]
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41%|██████████████████████████████████████████████▎ | 277/681 [16:12<16:26, 2.44s/it]
41%|██████████████████████████████████████████████▌ | 278/681 [16:15<16:36, 2.47s/it]
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41%|██████████████████████████████████████████████▌ | 278/681 [16:15<16:36, 2.47s/it]
41%|██████████████████████████████████████████████▋ | 279/681 [16:17<16:11, 2.42s/it]
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41%|██████████████████████████████████████████████▋ | 279/681 [16:17<16:11, 2.42s/it]
41%|██████████████████████████████████████████████▊ | 280/681 [16:19<16:03, 2.40s/it]
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41%|██████████████████████████████████████████████▊ | 280/681 [16:19<16:03, 2.40s/it]
41%|███████████████████████████████████████████████ | 281/681 [16:22<15:51, 2.38s/it]
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41%|███████████████████████████████████████████████ | 281/681 [16:22<15:51, 2.38s/it]
41%|███████████████████████████████████████████████▏ | 282/681 [16:24<15:59, 2.41s/it]
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41%|███████████████████████████████████████████████▏ | 282/681 [16:24<15:59, 2.41s/it]
42%|███████████████████████████████████████████████▎ | 283/681 [16:26<15:37, 2.36s/it]
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42%|███████████████████████████████████████████████▎ | 283/681 [16:26<15:37, 2.36s/it]
42%|███████████████████████████████████████████████▌ | 284/681 [16:29<15:45, 2.38s/it]
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42%|███████████████████████████████████████████████▌ | 284/681 [16:29<15:45, 2.38s/it]
42%|███████████████████████████████████████████████▋ | 285/681 [16:31<15:56, 2.41s/it]
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42%|███████████████████████████████████████████████▋ | 285/681 [16:31<15:56, 2.41s/it]
42%|███████████████████████████████████████████████▉ | 286/681 [16:34<16:22, 2.49s/it]
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42%|███████████████████████████████████████████████▉ | 286/681 [16:34<16:22, 2.49s/it]
42%|████████████████████████████████████████████████ | 287/681 [16:36<16:30, 2.51s/it]
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42%|████████████████████████████████████████████████ | 287/681 [16:36<16:30, 2.51s/it]
42%|████████████████████████████████████████████████▏ | 288/681 [16:39<16:36, 2.54s/it]
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42%|████████████████████████████████████████████████▏ | 288/681 [16:39<16:36, 2.54s/it]
42%|████████████████████████████████████████████████▍ | 289/681 [16:42<16:25, 2.51s/it]
{'loss': 2.1497, 'grad_norm': 1399.761962890625, 'learning_rate': 3.5797514096221024e-07, 'beta_dpo/gap_mean': 267.7777404785156, 'beta_dpo/gap_std': 242.87863159179688, 'beta_dpo/beta_used_raw': -2.816128730773926, 'beta_dpo/beta_used': 0.12335401028394699, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.432061195373535, 'logits/rejected': -2.416738986968994, 'beta_dpo/beta': 0.12335401028394699, 'beta_dpo/loss_margin_mean': 269.4267883300781, 'beta_dpo/beta_margin_mean': 38.710533142089844, 'beta_dpo/beta_margin_std': 60.30266189575195, 'beta_dpo/beta_margin_grad_mean': -0.2808164358139038, 'beta_dpo/beta_margin_grad_std': 0.2781689763069153, 'epoch': 0.42}
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42%|████████████████████████████████████████████████▍ | 289/681 [16:42<16:25, 2.51s/it]
43%|████████████████████████████████████████████████▌ | 290/681 [16:44<16:03, 2.47s/it]
{'loss': 0.8021, 'grad_norm': 4860.09814453125, 'learning_rate': 3.568162605525952e-07, 'beta_dpo/gap_mean': 274.8150634765625, 'beta_dpo/gap_std': 246.7188720703125, 'beta_dpo/beta_used_raw': -1.4733829498291016, 'beta_dpo/beta_used': 0.4147535264492035, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.382627010345459, 'logits/rejected': -2.3980727195739746, 'beta_dpo/beta': 0.4147535264492035, 'beta_dpo/loss_margin_mean': 309.44354248046875, 'beta_dpo/beta_margin_mean': 118.29973602294922, 'beta_dpo/beta_margin_std': 170.95254516601562, 'beta_dpo/beta_margin_grad_mean': -0.257093608379364, 'beta_dpo/beta_margin_grad_std': 0.2680981159210205, 'epoch': 0.43}
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43%|████████████████████████████████████████████████▌ | 290/681 [16:44<16:03, 2.47s/it]
43%|████████████████████████████████████████████████▋ | 291/681 [16:46<16:16, 2.50s/it]
{'loss': 1.1703, 'grad_norm': 17.112838745117188, 'learning_rate': 3.5565456543517485e-07, 'beta_dpo/gap_mean': 271.6788635253906, 'beta_dpo/gap_std': 250.40158081054688, 'beta_dpo/beta_used_raw': -1.8497285842895508, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4613046646118164, 'logits/rejected': -2.4365696907043457, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 243.9271240234375, 'beta_dpo/beta_margin_mean': 0.24392713606357574, 'beta_dpo/beta_margin_std': 0.24562755227088928, 'beta_dpo/beta_margin_grad_mean': -0.44023028016090393, 'beta_dpo/beta_margin_grad_std': 0.05959730222821236, 'epoch': 0.43}
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43%|████████████████████████████████████████████████▋ | 291/681 [16:46<16:16, 2.50s/it]
43%|████████████████████████████████████████████████▉ | 292/681 [16:49<15:58, 2.46s/it]
{'loss': 4.748, 'grad_norm': 5888.60498046875, 'learning_rate': 3.5449008622169583e-07, 'beta_dpo/gap_mean': 274.6377868652344, 'beta_dpo/gap_std': 246.9325408935547, 'beta_dpo/beta_used_raw': 0.09813689440488815, 'beta_dpo/beta_used': 0.21685589849948883, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3982367515563965, 'logits/rejected': -2.3866944313049316, 'beta_dpo/beta': 0.21685589849948883, 'beta_dpo/loss_margin_mean': 290.8916015625, 'beta_dpo/beta_margin_mean': 62.53536605834961, 'beta_dpo/beta_margin_std': 106.66192626953125, 'beta_dpo/beta_margin_grad_mean': -0.3011167347431183, 'beta_dpo/beta_margin_grad_std': 0.28959137201309204, 'epoch': 0.43}
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43%|████████████████████████████████████████████████▉ | 292/681 [16:49<15:58, 2.46s/it]
43%|█████████████████████████████████████████████████ | 293/681 [16:51<16:10, 2.50s/it]
{'loss': 1.1695, 'grad_norm': 15.048643112182617, 'learning_rate': 3.5332285359726846e-07, 'beta_dpo/gap_mean': 269.470703125, 'beta_dpo/gap_std': 247.3360137939453, 'beta_dpo/beta_used_raw': -1.6080701351165771, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4533298015594482, 'logits/rejected': -2.4286036491394043, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 238.1273956298828, 'beta_dpo/beta_margin_mean': 0.23812739551067352, 'beta_dpo/beta_margin_std': 0.24970707297325134, 'beta_dpo/beta_margin_grad_mean': -0.4417594075202942, 'beta_dpo/beta_margin_grad_std': 0.06032756716012955, 'epoch': 0.43}
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43%|█████████████████████████████████████████████████ | 293/681 [16:51<16:10, 2.50s/it]
43%|█████████████████████████████████████████████████▏ | 294/681 [16:54<16:03, 2.49s/it]
{'loss': 1.1791, 'grad_norm': 17.06812286376953, 'learning_rate': 3.5215289831955786e-07, 'beta_dpo/gap_mean': 265.29278564453125, 'beta_dpo/gap_std': 245.94830322265625, 'beta_dpo/beta_used_raw': -2.280418872833252, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3770015239715576, 'logits/rejected': -2.384579658508301, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 241.1770477294922, 'beta_dpo/beta_margin_mean': 0.2411770522594452, 'beta_dpo/beta_margin_std': 0.22201335430145264, 'beta_dpo/beta_margin_grad_mean': -0.4407859146595001, 'beta_dpo/beta_margin_grad_std': 0.053464584052562714, 'epoch': 0.43}
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43%|█████████████████████████████████████████████████▏ | 294/681 [16:54<16:03, 2.49s/it]
43%|█████████████████████████████████████████████████▍ | 295/681 [16:56<15:46, 2.45s/it]
{'loss': 0.5964, 'grad_norm': 11.919480323791504, 'learning_rate': 3.509802512179737e-07, 'beta_dpo/gap_mean': 266.80670166015625, 'beta_dpo/gap_std': 250.25885009765625, 'beta_dpo/beta_used_raw': 0.6230998039245605, 'beta_dpo/beta_used': 2.3084752559661865, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.370579719543457, 'logits/rejected': -2.3648414611816406, 'beta_dpo/beta': 2.3084752559661865, 'beta_dpo/loss_margin_mean': 285.25213623046875, 'beta_dpo/beta_margin_mean': 686.6762084960938, 'beta_dpo/beta_margin_std': 1093.60888671875, 'beta_dpo/beta_margin_grad_mean': -0.2641025185585022, 'beta_dpo/beta_margin_grad_std': 0.2718868553638458, 'epoch': 0.43}
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43%|█████████████████████████████████████████████████▍ | 295/681 [16:56<15:46, 2.45s/it]
43%|█████████████████████████████████████████████████▌ | 296/681 [16:59<15:35, 2.43s/it]
{'loss': 1.1781, 'grad_norm': 16.63273811340332, 'learning_rate': 3.498049431928577e-07, 'beta_dpo/gap_mean': 264.58294677734375, 'beta_dpo/gap_std': 255.38644409179688, 'beta_dpo/beta_used_raw': -1.7434802055358887, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4266653060913086, 'logits/rejected': -2.3969693183898926, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 242.2938690185547, 'beta_dpo/beta_margin_mean': 0.24229387938976288, 'beta_dpo/beta_margin_std': 0.2558496296405792, 'beta_dpo/beta_margin_grad_mean': -0.44102582335472107, 'beta_dpo/beta_margin_grad_std': 0.06035232171416283, 'epoch': 0.43}
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43%|█████████████████████████████████████████████████▌ | 296/681 [16:59<15:35, 2.43s/it]
44%|█████████████████████████████████████████████████▋ | 297/681 [17:01<15:29, 2.42s/it]
{'loss': 1.1732, 'grad_norm': 17.059518814086914, 'learning_rate': 3.486270052146694e-07, 'beta_dpo/gap_mean': 262.3899841308594, 'beta_dpo/gap_std': 251.85415649414062, 'beta_dpo/beta_used_raw': -1.5507869720458984, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.384669303894043, 'logits/rejected': -2.378746509552002, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 266.7861022949219, 'beta_dpo/beta_margin_mean': 0.266786128282547, 'beta_dpo/beta_margin_std': 0.2364174723625183, 'beta_dpo/beta_margin_grad_mean': -0.43483033776283264, 'beta_dpo/beta_margin_grad_std': 0.05599094182252884, 'epoch': 0.44}
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44%|█████████████████████████████████████████████████▋ | 297/681 [17:01<15:29, 2.42s/it]
44%|█████████████████████████████████████████████████▉ | 298/681 [17:04<15:34, 2.44s/it]
{'loss': 0.571, 'grad_norm': 11.470409393310547, 'learning_rate': 3.474464683231698e-07, 'beta_dpo/gap_mean': 272.2360534667969, 'beta_dpo/gap_std': 257.9064636230469, 'beta_dpo/beta_used_raw': 2.4882137775421143, 'beta_dpo/beta_used': 2.586780071258545, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.401449680328369, 'logits/rejected': -2.4212589263916016, 'beta_dpo/beta': 2.586780071258545, 'beta_dpo/loss_margin_mean': 338.0078430175781, 'beta_dpo/beta_margin_mean': 772.3213500976562, 'beta_dpo/beta_margin_std': 1197.1170654296875, 'beta_dpo/beta_margin_grad_mean': -0.2367078959941864, 'beta_dpo/beta_margin_grad_std': 0.25049635767936707, 'epoch': 0.44}
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44%|█████████████████████████████████████████████████▉ | 298/681 [17:04<15:34, 2.44s/it]
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{'loss': 1.1586, 'grad_norm': 15.817339897155762, 'learning_rate': 3.462633636266041e-07, 'beta_dpo/gap_mean': 274.23779296875, 'beta_dpo/gap_std': 258.99835205078125, 'beta_dpo/beta_used_raw': -1.441830039024353, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.361654281616211, 'logits/rejected': -2.373199224472046, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 268.77032470703125, 'beta_dpo/beta_margin_mean': 0.26877033710479736, 'beta_dpo/beta_margin_std': 0.2329106479883194, 'beta_dpo/beta_margin_grad_mean': -0.4342046082019806, 'beta_dpo/beta_margin_grad_std': 0.055606916546821594, 'epoch': 0.44}
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{'loss': 0.5857, 'grad_norm': 14.615754127502441, 'learning_rate': 3.4507772230088147e-07, 'beta_dpo/gap_mean': 281.2528991699219, 'beta_dpo/gap_std': 265.603759765625, 'beta_dpo/beta_used_raw': -0.06062328815460205, 'beta_dpo/beta_used': 1.0433894395828247, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.371137857437134, 'logits/rejected': -2.378791570663452, 'beta_dpo/beta': 1.0433894395828247, 'beta_dpo/loss_margin_mean': 316.542236328125, 'beta_dpo/beta_margin_mean': 355.8514709472656, 'beta_dpo/beta_margin_std': 520.4441528320312, 'beta_dpo/beta_margin_grad_mean': -0.2306303083896637, 'beta_dpo/beta_margin_grad_std': 0.24043621122837067, 'epoch': 0.44}
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44%|██████████████████████████████████████████████████▏ | 300/681 [17:09<16:08, 2.54s/it][INFO|trainer.py:4307] 2026-04-18 06:22:53,353 >>
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***** Running Evaluation *****
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[INFO|trainer.py:4309] 2026-04-18 06:22:53,353 >> Num examples = 2339
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[INFO|trainer.py:4312] 2026-04-18 06:22:53,354 >> Batch size = 8
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[A{'eval_loss': 0.6708105206489563, 'eval_runtime': 37.7646, 'eval_samples_per_second': 61.936, 'eval_steps_per_second': 1.96, 'eval_beta_dpo/beta': 0.0032366011291742325, 'eval_beta_dpo/loss_margin_mean': 165.3889923095703, 'eval_beta_dpo/beta_margin_mean': 0.8038776516914368, 'eval_beta_dpo/beta_margin_std': 1.0105534791946411, 'eval_beta_dpo/beta_margin_grad_mean': -0.4553416073322296, 'eval_beta_dpo/beta_margin_grad_std': 0.07153664529323578, 'eval_beta_dpo/gap_mean': 284.4014892578125, 'eval_beta_dpo/gap_std': 265.404052734375, 'eval_beta_dpo/beta_used_raw': -7.0407514572143555, 'eval_beta_dpo/beta_used': 0.0032366011291742325, 'eval_beta_dpo/mask_keep_frac': 1.0, 'eval_logits/chosen': -2.395129442214966, 'eval_logits/rejected': -2.3756070137023926, 'epoch': 0.44}
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100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 73/73 [00:37<00:00, 2.02it/s][A
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[A
44%|█████████████████████████████████████████████████▌ | 301/681 [17:49<1:27:16, 13.78s/it]
{'loss': 2.6589, 'grad_norm': 4913.37890625, 'learning_rate': 3.4388957558875316e-07, 'beta_dpo/gap_mean': 288.820556640625, 'beta_dpo/gap_std': 268.8150634765625, 'beta_dpo/beta_used_raw': -0.9006747007369995, 'beta_dpo/beta_used': 0.4013200104236603, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.354623794555664, 'logits/rejected': -2.343824863433838, 'beta_dpo/beta': 0.4013200104236603, 'beta_dpo/loss_margin_mean': 303.63372802734375, 'beta_dpo/beta_margin_mean': 136.3580780029297, 'beta_dpo/beta_margin_std': 207.45651245117188, 'beta_dpo/beta_margin_grad_mean': -0.24900613725185394, 'beta_dpo/beta_margin_grad_std': 0.25779998302459717, 'epoch': 0.44}
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44%|█████████████████████████████████████████████████▌ | 301/681 [17:49<1:27:16, 13.78s/it]
44%|█████████████████████████████████████████████████▋ | 302/681 [17:51<1:05:34, 10.38s/it]
{'loss': 1.4867, 'grad_norm': 8826.119140625, 'learning_rate': 3.426989547989902e-07, 'beta_dpo/gap_mean': 292.2723388671875, 'beta_dpo/gap_std': 271.0513916015625, 'beta_dpo/beta_used_raw': 1.0286716222763062, 'beta_dpo/beta_used': 1.2232584953308105, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3831279277801514, 'logits/rejected': -2.3882064819335938, 'beta_dpo/beta': 1.2232584953308105, 'beta_dpo/loss_margin_mean': 315.1329345703125, 'beta_dpo/beta_margin_mean': 401.79315185546875, 'beta_dpo/beta_margin_std': 578.2942504882812, 'beta_dpo/beta_margin_grad_mean': -0.24484674632549286, 'beta_dpo/beta_margin_grad_std': 0.2557476758956909, 'epoch': 0.44}
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44%|█████████████████████████████████████████████████▋ | 302/681 [17:51<1:05:34, 10.38s/it]
44%|██████████████████████████████████████████████████▋ | 303/681 [17:53<50:01, 7.94s/it]
{'loss': 9.1621, 'grad_norm': 7618.3427734375, 'learning_rate': 3.4150589130555773e-07, 'beta_dpo/gap_mean': 291.7049560546875, 'beta_dpo/gap_std': 282.81158447265625, 'beta_dpo/beta_used_raw': 1.5807337760925293, 'beta_dpo/beta_used': 1.5807337760925293, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.403137445449829, 'logits/rejected': -2.3835113048553467, 'beta_dpo/beta': 1.5807337760925293, 'beta_dpo/loss_margin_mean': 283.4997253417969, 'beta_dpo/beta_margin_mean': 455.2434387207031, 'beta_dpo/beta_margin_std': 776.2095336914062, 'beta_dpo/beta_margin_grad_mean': -0.15623971819877625, 'beta_dpo/beta_margin_grad_std': 0.3630678653717041, 'epoch': 0.44}
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44%|██████████████████████████████████████████████████▋ | 303/681 [17:53<50:01, 7.94s/it]
45%|██████████████████████████████████████████████████▉ | 304/681 [17:56<39:36, 6.30s/it]
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45%|██████████████████████████████████████████████████▉ | 304/681 [17:56<39:36, 6.30s/it]
45%|███████████████████████████████████████████████████ | 305/681 [17:58<32:16, 5.15s/it]
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45%|███████████████████████████████████████████████████ | 305/681 [17:58<32:16, 5.15s/it]
45%|███████████████████████████████████████████████████▏ | 306/681 [18:01<27:14, 4.36s/it]
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45%|███████████████████████████████████████████████████▏ | 306/681 [18:01<27:14, 4.36s/it]
45%|███████████████████████████████████████████████████▍ | 307/681 [18:03<23:44, 3.81s/it]
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45%|███████████████████████████████████████████████████▍ | 307/681 [18:03<23:44, 3.81s/it]
45%|███████████████████████████████████████████████████▌ | 308/681 [18:06<20:47, 3.35s/it]
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45%|███████████████████████████████████████████████████▌ | 308/681 [18:06<20:47, 3.35s/it]
45%|███████████████████████████████████████████████████▋ | 309/681 [18:08<19:01, 3.07s/it]
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45%|███████████████████████████████████████████████████▋ | 309/681 [18:08<19:01, 3.07s/it]
46%|███████████████████████████████████████████████████▉ | 310/681 [18:11<17:53, 2.89s/it]
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46%|███████████████████████████████████████████████████▉ | 310/681 [18:11<17:53, 2.89s/it]
46%|████████████████████████████████████████████████████ | 311/681 [18:13<17:41, 2.87s/it]
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46%|████████████████████████████████████████████████████ | 311/681 [18:13<17:41, 2.87s/it]
46%|████████████████████████████████████████████████████▏ | 312/681 [18:16<16:26, 2.67s/it]
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46%|████████████████████████████████████████████████████▏ | 312/681 [18:16<16:26, 2.67s/it]
46%|████████████████████████████████████████████████████▍ | 313/681 [18:18<16:08, 2.63s/it]
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46%|████████████████████████████████████████████████████▍ | 313/681 [18:18<16:08, 2.63s/it]
46%|████████████████████████████████████████████████████▌ | 314/681 [18:21<15:40, 2.56s/it]
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46%|████████████████████████████████████████████████████▌ | 314/681 [18:21<15:40, 2.56s/it]
46%|████████████████████████████████████████████████████▋ | 315/681 [18:23<15:31, 2.54s/it]
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46%|████████████████████████████████████████████████████▋ | 315/681 [18:23<15:31, 2.54s/it]
46%|████████████████████████████████████████████████████▉ | 316/681 [18:25<15:03, 2.48s/it]
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46%|████████████████████████████████████████████████████▉ | 316/681 [18:25<15:03, 2.48s/it]
47%|█████████████████████████████████████████████████████ | 317/681 [18:28<15:10, 2.50s/it]
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47%|█████████████████████████████████████████████████████ | 317/681 [18:28<15:10, 2.50s/it]
47%|█████████████████████████████████████████████████████▏ | 318/681 [18:30<14:45, 2.44s/it]
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47%|█████████████████████████████████████████████████████▏ | 318/681 [18:30<14:45, 2.44s/it]
47%|█████████████████████████████████████████████████████▍ | 319/681 [18:33<14:38, 2.43s/it]
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47%|█████████████████████████████████████████████████████▍ | 319/681 [18:33<14:38, 2.43s/it]
47%|█████████████████████████████████████████████████████▌ | 320/681 [18:35<14:40, 2.44s/it]
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47%|█████████████████████████████████████████████████████▌ | 320/681 [18:35<14:40, 2.44s/it]
47%|█████████████████████████████████████████████████████▋ | 321/681 [18:38<14:48, 2.47s/it]
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47%|█████████████████████████████████████████████████████▋ | 321/681 [18:38<14:48, 2.47s/it]
47%|█████████████████████████████████████████████████████▉ | 322/681 [18:40<15:19, 2.56s/it]
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47%|█████████████████████████████████████████████████████▉ | 322/681 [18:40<15:19, 2.56s/it]
47%|██████████████████████████████████████████████████████ | 323/681 [18:43<15:01, 2.52s/it]
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47%|██████████████████████████████████████████████████████ | 323/681 [18:43<15:01, 2.52s/it]
48%|██████████████████████████████████████████████████████▏ | 324/681 [18:45<14:57, 2.51s/it]
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48%|██████████████████████████████████████████████████████▏ | 324/681 [18:45<14:57, 2.51s/it]
48%|██████████████████████████████████████████████████████▍ | 325/681 [18:48<15:06, 2.55s/it]
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48%|██████████████████████████████████████████████████████▍ | 325/681 [18:48<15:06, 2.55s/it]
48%|██████████████████████████████████████████████████████▌ | 326/681 [18:50<14:56, 2.53s/it]
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48%|██████████████████████████████████████████████████████▌ | 326/681 [18:50<14:56, 2.53s/it]
48%|██████████████████████████████████████████████████████▋ | 327/681 [18:53<14:47, 2.51s/it]
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48%|██████████████████████████████████████████████████████▋ | 327/681 [18:53<14:47, 2.51s/it]
48%|██████████████████████████████████████████████████████▉ | 328/681 [18:55<14:41, 2.50s/it]
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48%|██████████████████████████████████████████████████████▉ | 328/681 [18:55<14:41, 2.50s/it]
48%|███████████████████████████████████████████████████████ | 329/681 [18:58<14:08, 2.41s/it]
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48%|███████████████████████████████████████████████████████ | 329/681 [18:58<14:08, 2.41s/it]
48%|███████████████████████████████████████████████████████▏ | 330/681 [19:00<14:10, 2.42s/it]
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48%|███████████████████████████████████████████████████████▏ | 330/681 [19:00<14:10, 2.42s/it]
49%|███████████████████████████████████████████████████████▍ | 331/681 [19:03<14:15, 2.44s/it]
{'loss': 0.553, 'grad_norm': 13.570107460021973, 'learning_rate': 3.072376374875335e-07, 'beta_dpo/gap_mean': 322.59796142578125, 'beta_dpo/gap_std': 284.0390319824219, 'beta_dpo/beta_used_raw': -0.001759946346282959, 'beta_dpo/beta_used': 0.2725904583930969, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.355848789215088, 'logits/rejected': -2.340954303741455, 'beta_dpo/beta': 0.2725904583930969, 'beta_dpo/loss_margin_mean': 326.7667541503906, 'beta_dpo/beta_margin_mean': 81.00366973876953, 'beta_dpo/beta_margin_std': 118.57772064208984, 'beta_dpo/beta_margin_grad_mean': -0.23779310286045074, 'beta_dpo/beta_margin_grad_std': 0.2499072253704071, 'epoch': 0.49}
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49%|███████████████████████████████████████████████████████▍ | 331/681 [19:03<14:15, 2.44s/it]
49%|███████████████████████████████████████████████████████▌ | 332/681 [19:05<14:09, 2.43s/it]
{'loss': 1.1728, 'grad_norm': 19.325729370117188, 'learning_rate': 3.059876462596758e-07, 'beta_dpo/gap_mean': 312.61383056640625, 'beta_dpo/gap_std': 277.851318359375, 'beta_dpo/beta_used_raw': -4.248039245605469, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3538053035736084, 'logits/rejected': -2.339722156524658, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 262.1835021972656, 'beta_dpo/beta_margin_mean': 0.2621835172176361, 'beta_dpo/beta_margin_std': 0.25429460406303406, 'beta_dpo/beta_margin_grad_mean': -0.4359738230705261, 'beta_dpo/beta_margin_grad_std': 0.06110256910324097, 'epoch': 0.49}
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49%|███████████████████████████████████████████████████████▌ | 332/681 [19:05<14:09, 2.43s/it]
49%|███████████████████████████████████████████████████████▋ | 333/681 [19:07<14:09, 2.44s/it]
{'loss': 17.0446, 'grad_norm': 13925.4560546875, 'learning_rate': 3.0473617970527015e-07, 'beta_dpo/gap_mean': 315.35302734375, 'beta_dpo/gap_std': 276.364990234375, 'beta_dpo/beta_used_raw': 2.793745279312134, 'beta_dpo/beta_used': 2.793745279312134, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.367403268814087, 'logits/rejected': -2.354949474334717, 'beta_dpo/beta': 2.793745279312134, 'beta_dpo/loss_margin_mean': 338.3910217285156, 'beta_dpo/beta_margin_mean': 984.294677734375, 'beta_dpo/beta_margin_std': 1002.9381713867188, 'beta_dpo/beta_margin_grad_mean': -0.14066281914710999, 'beta_dpo/beta_margin_grad_std': 0.3476191461086273, 'epoch': 0.49}
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49%|███████████████████████████████████████████████████████▋ | 333/681 [19:07<14:09, 2.44s/it]
49%|███████████████████████████████████████████████████████▉ | 334/681 [19:10<14:21, 2.48s/it]
{'loss': 1.1501, 'grad_norm': 18.42644500732422, 'learning_rate': 3.034832708016243e-07, 'beta_dpo/gap_mean': 313.328369140625, 'beta_dpo/gap_std': 281.157470703125, 'beta_dpo/beta_used_raw': -2.959665298461914, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3879494667053223, 'logits/rejected': -2.3688955307006836, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 294.5460510253906, 'beta_dpo/beta_margin_mean': 0.29454606771469116, 'beta_dpo/beta_margin_std': 0.28985467553138733, 'beta_dpo/beta_margin_grad_mean': -0.4284491240978241, 'beta_dpo/beta_margin_grad_std': 0.0682436004281044, 'epoch': 0.49}
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49%|███████████████████████████████████████████████████████▉ | 334/681 [19:10<14:21, 2.48s/it]
49%|████████████████████████████████████████████████████████ | 335/681 [19:12<14:17, 2.48s/it]
{'loss': 1.1783, 'grad_norm': 19.224916458129883, 'learning_rate': 3.022289525640531e-07, 'beta_dpo/gap_mean': 296.7751159667969, 'beta_dpo/gap_std': 274.739501953125, 'beta_dpo/beta_used_raw': -3.695589065551758, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3774776458740234, 'logits/rejected': -2.358548164367676, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 220.04251098632812, 'beta_dpo/beta_margin_mean': 0.22004252672195435, 'beta_dpo/beta_margin_std': 0.2587723433971405, 'beta_dpo/beta_margin_grad_mean': -0.4463410973548889, 'beta_dpo/beta_margin_grad_std': 0.062163643538951874, 'epoch': 0.49}
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49%|████████████████████████████████████████████████████████ | 335/681 [19:12<14:17, 2.48s/it]
49%|████████████████████████████████████████████████████████▏ | 336/681 [19:15<14:13, 2.47s/it]
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49%|████████████████████████████████████████████████████████▏ | 336/681 [19:15<14:13, 2.47s/it]
49%|████████████████████████████████████████████████████████▍ | 337/681 [19:17<13:45, 2.40s/it]
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49%|████████████████████████████████████████████████████████▍ | 337/681 [19:17<13:45, 2.40s/it]
50%|████████████████████████████████████████████████████████▌ | 338/681 [19:20<13:45, 2.41s/it]
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50%|████████████████████████████████████████████████████████▌ | 338/681 [19:20<13:45, 2.41s/it]
50%|████████████████████████████████████████████████████████▋ | 339/681 [19:22<13:33, 2.38s/it]
{'loss': 6.4518, 'grad_norm': 24645.341796875, 'learning_rate': 2.9719824786231796e-07, 'beta_dpo/gap_mean': 306.15435791015625, 'beta_dpo/gap_std': 285.44110107421875, 'beta_dpo/beta_used_raw': -0.3248262405395508, 'beta_dpo/beta_used': 1.054119348526001, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3688817024230957, 'logits/rejected': -2.361849784851074, 'beta_dpo/beta': 1.054119348526001, 'beta_dpo/loss_margin_mean': 320.0867614746094, 'beta_dpo/beta_margin_mean': 411.3683776855469, 'beta_dpo/beta_margin_std': 620.0492553710938, 'beta_dpo/beta_margin_grad_mean': -0.2663116455078125, 'beta_dpo/beta_margin_grad_std': 0.2718449532985687, 'epoch': 0.5}
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50%|████████████████████████████████████████████████████████▋ | 339/681 [19:22<13:33, 2.38s/it]
50%|████████████████████████████████████████████████████████▉ | 340/681 [19:24<13:17, 2.34s/it]
{'loss': 0.5592, 'grad_norm': 13.370800018310547, 'learning_rate': 2.959373794541426e-07, 'beta_dpo/gap_mean': 309.4892578125, 'beta_dpo/gap_std': 288.36248779296875, 'beta_dpo/beta_used_raw': 2.532560110092163, 'beta_dpo/beta_used': 2.684582233428955, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3758139610290527, 'logits/rejected': -2.346534490585327, 'beta_dpo/beta': 2.684582233428955, 'beta_dpo/loss_margin_mean': 288.3397521972656, 'beta_dpo/beta_margin_mean': 901.1436767578125, 'beta_dpo/beta_margin_std': 1441.9869384765625, 'beta_dpo/beta_margin_grad_mean': -0.26743197441101074, 'beta_dpo/beta_margin_grad_std': 0.27371782064437866, 'epoch': 0.5}
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50%|████████████████████████████████████████████████████████▉ | 340/681 [19:24<13:17, 2.34s/it]
50%|█████████████████████████████████████████████████████████ | 341/681 [19:27<13:25, 2.37s/it]
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50%|█████████████████████████████████████████████████████████ | 341/681 [19:27<13:25, 2.37s/it]
50%|█████████████████████████████████████████████████████████▎ | 342/681 [19:29<13:42, 2.43s/it]
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50%|█████████████████████████████████████████████████████████▎ | 342/681 [19:29<13:42, 2.43s/it]
50%|█████████████████████████████████████████████████████████▍ | 343/681 [19:31<13:31, 2.40s/it]
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50%|█████████████████████████████████████████████████████████▍ | 343/681 [19:32<13:31, 2.40s/it]
51%|█████████████████████████████████████████████████████████▌ | 344/681 [19:34<13:31, 2.41s/it]
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51%|█████████████████████████████████████████████████████████▌ | 344/681 [19:34<13:31, 2.41s/it]
51%|█████████████████████████████████████████████████████████▊ | 345/681 [19:36<13:33, 2.42s/it]
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51%|█████████████████████████████████████████████████████████▊ | 345/681 [19:36<13:33, 2.42s/it]
51%|█████████████████████████████████████████████████████████▉ | 346/681 [19:39<13:47, 2.47s/it]
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51%|█████████████████████████████████████████████████████████▉ | 346/681 [19:39<13:47, 2.47s/it]
51%|██████████████████████████████████████████████████████████ | 347/681 [19:41<13:42, 2.46s/it]
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51%|██████████████████████████████████████████████████████████ | 347/681 [19:41<13:42, 2.46s/it]
51%|██████████████████████████████████████████████████████████▎ | 348/681 [19:44<13:32, 2.44s/it]
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51%|██████████████████████████████████████████████████████████▎ | 348/681 [19:44<13:32, 2.44s/it]
51%|██████████████████████████████████████████████████████████▍ | 349/681 [19:46<13:34, 2.45s/it]
{'loss': 2.7493, 'grad_norm': 1751.5216064453125, 'learning_rate': 2.845390887379706e-07, 'beta_dpo/gap_mean': 314.21697998046875, 'beta_dpo/gap_std': 281.6492004394531, 'beta_dpo/beta_used_raw': -0.4417477548122406, 'beta_dpo/beta_used': 0.08341504633426666, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3977246284484863, 'logits/rejected': -2.3966641426086426, 'beta_dpo/beta': 0.08341504633426666, 'beta_dpo/loss_margin_mean': 326.5581359863281, 'beta_dpo/beta_margin_mean': 28.167213439941406, 'beta_dpo/beta_margin_std': 44.491722106933594, 'beta_dpo/beta_margin_grad_mean': -0.25735506415367126, 'beta_dpo/beta_margin_grad_std': 0.26621419191360474, 'epoch': 0.51}
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51%|██████████████████████████████████████████████████████████▍ | 349/681 [19:46<13:34, 2.45s/it]
51%|██████████████████████████████████████████████████████████▌ | 350/681 [19:49<13:28, 2.44s/it]
{'loss': 28.0702, 'grad_norm': 25647.646484375, 'learning_rate': 2.8326761550411346e-07, 'beta_dpo/gap_mean': 314.50628662109375, 'beta_dpo/gap_std': 285.41729736328125, 'beta_dpo/beta_used_raw': 1.8887107372283936, 'beta_dpo/beta_used': 1.8887107372283936, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.409909725189209, 'logits/rejected': -2.4100773334503174, 'beta_dpo/beta': 1.8887107372283936, 'beta_dpo/loss_margin_mean': 308.5635986328125, 'beta_dpo/beta_margin_mean': 593.6013793945312, 'beta_dpo/beta_margin_std': 579.1753540039062, 'beta_dpo/beta_margin_grad_mean': -0.140625, 'beta_dpo/beta_margin_grad_std': 0.34763428568840027, 'epoch': 0.51}
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51%|██████████████████████████████████████████████████████████▌ | 350/681 [19:49<13:28, 2.44s/it]
52%|██████████████████████████████████████████████████████████▊ | 351/681 [19:51<13:35, 2.47s/it]
{'loss': 1.1514, 'grad_norm': 20.02607536315918, 'learning_rate': 2.819952656376487e-07, 'beta_dpo/gap_mean': 318.64599609375, 'beta_dpo/gap_std': 295.79644775390625, 'beta_dpo/beta_used_raw': -3.0178706645965576, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3981099128723145, 'logits/rejected': -2.4018301963806152, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 334.8188171386719, 'beta_dpo/beta_margin_mean': 0.33481884002685547, 'beta_dpo/beta_margin_std': 0.3401849567890167, 'beta_dpo/beta_margin_grad_mean': -0.4200161397457123, 'beta_dpo/beta_margin_grad_std': 0.07670863717794418, 'epoch': 0.52}
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52%|██████████████████████████████████████████████████████████▊ | 351/681 [19:51<13:35, 2.47s/it]
52%|██████████████████████████████████████████████████████████▉ | 352/681 [19:54<13:36, 2.48s/it]
{'loss': 1.1557, 'grad_norm': 18.892972946166992, 'learning_rate': 2.8072207266617854e-07, 'beta_dpo/gap_mean': 310.7604675292969, 'beta_dpo/gap_std': 290.19696044921875, 'beta_dpo/beta_used_raw': -3.255035400390625, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4018521308898926, 'logits/rejected': -2.383004903793335, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 277.19549560546875, 'beta_dpo/beta_margin_mean': 0.2771955132484436, 'beta_dpo/beta_margin_std': 0.26465079188346863, 'beta_dpo/beta_margin_grad_mean': -0.43255868554115295, 'beta_dpo/beta_margin_grad_std': 0.06271059066057205, 'epoch': 0.52}
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52%|██████████████████████████████████████████████████████████▉ | 352/681 [19:54<13:36, 2.48s/it]
52%|███████████████████████████████████████████████████████████ | 353/681 [19:56<13:32, 2.48s/it]
{'loss': 1.1411, 'grad_norm': 20.134214401245117, 'learning_rate': 2.794480701395219e-07, 'beta_dpo/gap_mean': 307.8128356933594, 'beta_dpo/gap_std': 293.14794921875, 'beta_dpo/beta_used_raw': -1.7248914241790771, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4077649116516113, 'logits/rejected': -2.4009876251220703, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 290.12451171875, 'beta_dpo/beta_margin_mean': 0.2901245057582855, 'beta_dpo/beta_margin_std': 0.30724653601646423, 'beta_dpo/beta_margin_grad_mean': -0.4298509657382965, 'beta_dpo/beta_margin_grad_std': 0.07284195721149445, 'epoch': 0.52}
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52%|███████████████████████████████████████████████████████████ | 353/681 [19:56<13:32, 2.48s/it]
52%|███████████████████████████████████████████████████████████▎ | 354/681 [19:58<13:12, 2.42s/it]
{'loss': 1.138, 'grad_norm': 23.041349411010742, 'learning_rate': 2.781732916288303e-07, 'beta_dpo/gap_mean': 302.3212585449219, 'beta_dpo/gap_std': 285.1046447753906, 'beta_dpo/beta_used_raw': -1.4506525993347168, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4216408729553223, 'logits/rejected': -2.4001893997192383, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 290.52886962890625, 'beta_dpo/beta_margin_mean': 0.29052889347076416, 'beta_dpo/beta_margin_std': 0.2439156472682953, 'beta_dpo/beta_margin_grad_mean': -0.42897459864616394, 'beta_dpo/beta_margin_grad_std': 0.058552030473947525, 'epoch': 0.52}
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52%|███████████████████████████████████████████████████████████▎ | 354/681 [19:59<13:12, 2.42s/it]
52%|███████████████████████████████████████████████████████████▍ | 355/681 [20:01<13:10, 2.42s/it]
{'loss': 5.7505, 'grad_norm': 6968.03076171875, 'learning_rate': 2.7689777072570284e-07, 'beta_dpo/gap_mean': 305.43170166015625, 'beta_dpo/gap_std': 274.4084777832031, 'beta_dpo/beta_used_raw': 0.6849542856216431, 'beta_dpo/beta_used': 0.6849542856216431, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.445467948913574, 'logits/rejected': -2.4192585945129395, 'beta_dpo/beta': 0.6849542856216431, 'beta_dpo/loss_margin_mean': 328.5459289550781, 'beta_dpo/beta_margin_mean': 228.0188446044922, 'beta_dpo/beta_margin_std': 165.11636352539062, 'beta_dpo/beta_margin_grad_mean': -0.10933418571949005, 'beta_dpo/beta_margin_grad_std': 0.3119906485080719, 'epoch': 0.52}
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52%|███████████████████████████████████████████████████████████▍ | 355/681 [20:01<13:10, 2.42s/it]
52%|███████████████████████████████████████████████████████████▌ | 356/681 [20:03<13:18, 2.46s/it]
{'loss': 1.1484, 'grad_norm': 20.48623275756836, 'learning_rate': 2.7562154104130176e-07, 'beta_dpo/gap_mean': 300.7390441894531, 'beta_dpo/gap_std': 275.934326171875, 'beta_dpo/beta_used_raw': -1.9701589345932007, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.409104824066162, 'logits/rejected': -2.3870463371276855, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 265.6390075683594, 'beta_dpo/beta_margin_mean': 0.2656390070915222, 'beta_dpo/beta_margin_std': 0.2923762798309326, 'beta_dpo/beta_margin_grad_mean': -0.4357198476791382, 'beta_dpo/beta_margin_grad_std': 0.06848623603582382, 'epoch': 0.52}
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52%|███████████████████████████████████████████████████████████▌ | 356/681 [20:03<13:18, 2.46s/it]
52%|███████████████████████████████████████████████████████████▊ | 357/681 [20:06<13:39, 2.53s/it]
{'loss': 3.893, 'grad_norm': 9097.716796875, 'learning_rate': 2.7434463620546594e-07, 'beta_dpo/gap_mean': 301.724609375, 'beta_dpo/gap_std': 276.3421325683594, 'beta_dpo/beta_used_raw': -1.2659064531326294, 'beta_dpo/beta_used': 1.1052085161209106, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4178619384765625, 'logits/rejected': -2.4092202186584473, 'beta_dpo/beta': 1.1052085161209106, 'beta_dpo/loss_margin_mean': 287.9976806640625, 'beta_dpo/beta_margin_mean': 405.9659729003906, 'beta_dpo/beta_margin_std': 574.3975830078125, 'beta_dpo/beta_margin_grad_mean': -0.25593680143356323, 'beta_dpo/beta_margin_grad_std': 0.2634008824825287, 'epoch': 0.52}
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52%|███████████████████████████████████████████████████████████▊ | 357/681 [20:06<13:39, 2.53s/it]
53%|███████████████████████████████████████████████████████████▉ | 358/681 [20:09<14:15, 2.65s/it]
{'loss': 1.1319, 'grad_norm': 19.981340408325195, 'learning_rate': 2.730670898658255e-07, 'beta_dpo/gap_mean': 296.3010559082031, 'beta_dpo/gap_std': 281.1275939941406, 'beta_dpo/beta_used_raw': -0.7463812828063965, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4385619163513184, 'logits/rejected': -2.4157814979553223, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 299.7250671386719, 'beta_dpo/beta_margin_mean': 0.29972508549690247, 'beta_dpo/beta_margin_std': 0.3031264543533325, 'beta_dpo/beta_margin_grad_mean': -0.4275015890598297, 'beta_dpo/beta_margin_grad_std': 0.0712355524301529, 'epoch': 0.53}
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53%|███████████████████████████████████████████████████████████▉ | 358/681 [20:09<14:15, 2.65s/it]
53%|████████████████████████████████████████████████████████████ | 359/681 [20:12<13:56, 2.60s/it]
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53%|████████████████████████████████████████████████████████████ | 359/681 [20:12<13:56, 2.60s/it]
53%|████████████████████████████████████████████████████████████▎ | 360/681 [20:14<13:40, 2.56s/it]
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53%|████████████████████████████████████████████████████████████▎ | 360/681 [20:14<13:40, 2.56s/it]
53%|████████████████████████████████████████████████████████████▍ | 361/681 [20:17<13:39, 2.56s/it]
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53%|████████████████████████████████████████████████████████████▍ | 361/681 [20:17<13:39, 2.56s/it]
53%|████████████████████████████████████████████████████████████▌ | 362/681 [20:19<13:12, 2.48s/it]
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53%|████████████████████████████████████████████████████████████▌ | 362/681 [20:19<13:12, 2.48s/it]
53%|████████████████████████████████████████████████████████████▊ | 363/681 [20:21<12:53, 2.43s/it]
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53%|████████████████████████████████████████████████████████████▊ | 363/681 [20:21<12:53, 2.43s/it]
53%|████████████████████████████████████████████████████████████▉ | 364/681 [20:24<12:58, 2.46s/it]
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53%|████████████████████████████████████████████████████████████▉ | 364/681 [20:24<12:58, 2.46s/it]
54%|█████████████████████████████████████████████████████████████ | 365/681 [20:26<12:42, 2.41s/it]
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54%|█████████████████████████████████████████████████████████████ | 365/681 [20:26<12:42, 2.41s/it]
54%|█████████████████████████████████████████████████████████████▎ | 366/681 [20:28<12:41, 2.42s/it]
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54%|█████████████████████████████████████████████████████████████▎ | 366/681 [20:28<12:41, 2.42s/it]
54%|█████████████████████████████████████████████████████████████▍ | 367/681 [20:31<12:53, 2.46s/it]
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54%|█████████████████████████████████████████████████████████████▍ | 367/681 [20:31<12:53, 2.46s/it]
54%|█████████████████████████████████████████████████████████████▌ | 368/681 [20:33<12:48, 2.46s/it]
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54%|█████████████████████████████████████████████████████████████▌ | 368/681 [20:33<12:48, 2.46s/it]
54%|█████████████████████████████████████████████████████████████▊ | 369/681 [20:36<13:18, 2.56s/it]
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54%|█████████████████████████████████████████████████████████████▊ | 369/681 [20:36<13:18, 2.56s/it]
54%|█████████████████████████████████████████████████████████████▉ | 370/681 [20:39<13:16, 2.56s/it]
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54%|█████████████████████████████████████████████████████████████▉ | 370/681 [20:39<13:16, 2.56s/it]
54%|██████████████████████████████████████████████████████████████ | 371/681 [20:41<13:19, 2.58s/it]
{'loss': 21.0427, 'grad_norm': 8407.552734375, 'learning_rate': 2.5641594716365744e-07, 'beta_dpo/gap_mean': 319.158203125, 'beta_dpo/gap_std': 289.86175537109375, 'beta_dpo/beta_used_raw': -2.339658498764038, 'beta_dpo/beta_used': 0.5957542657852173, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.393846035003662, 'logits/rejected': -2.3929755687713623, 'beta_dpo/beta': 0.5957542657852173, 'beta_dpo/loss_margin_mean': 333.40985107421875, 'beta_dpo/beta_margin_mean': 196.8231964111328, 'beta_dpo/beta_margin_std': 344.92559814453125, 'beta_dpo/beta_margin_grad_mean': -0.25642988085746765, 'beta_dpo/beta_margin_grad_std': 0.26836514472961426, 'epoch': 0.54}
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54%|██████████████████████████████████████████████████████████████ | 371/681 [20:41<13:19, 2.58s/it]
55%|██████████████████████████████████████████████████████████████▎ | 372/681 [20:44<12:52, 2.50s/it]
{'loss': 9.5999, 'grad_norm': 31112.7265625, 'learning_rate': 2.551329606220976e-07, 'beta_dpo/gap_mean': 320.1593017578125, 'beta_dpo/gap_std': 292.0980224609375, 'beta_dpo/beta_used_raw': 3.440232038497925, 'beta_dpo/beta_used': 3.440232038497925, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3891334533691406, 'logits/rejected': -2.360813617706299, 'beta_dpo/beta': 3.440232038497925, 'beta_dpo/loss_margin_mean': 341.0747985839844, 'beta_dpo/beta_margin_mean': 1281.364501953125, 'beta_dpo/beta_margin_std': 1292.0177001953125, 'beta_dpo/beta_margin_grad_mean': -0.09375, 'beta_dpo/beta_margin_grad_std': 0.2914806008338928, 'epoch': 0.55}
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55%|██████████████████████████████████████████████████████████████▎ | 372/681 [20:44<12:52, 2.50s/it]
55%|██████████████████████████████████████████████████████████████▍ | 373/681 [20:46<13:01, 2.54s/it]
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55%|██████████████████████████████████████████████████████████████▍ | 373/681 [20:46<13:01, 2.54s/it]
55%|██████████████████████████████████████████████████████████████▌ | 374/681 [20:49<13:03, 2.55s/it]
{'loss': 1.1579, 'grad_norm': 22.25040054321289, 'learning_rate': 2.525666155755725e-07, 'beta_dpo/gap_mean': 326.4972229003906, 'beta_dpo/gap_std': 282.38189697265625, 'beta_dpo/beta_used_raw': -4.3080596923828125, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.427107810974121, 'logits/rejected': -2.4131693840026855, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 299.5753479003906, 'beta_dpo/beta_margin_mean': 0.2995753586292267, 'beta_dpo/beta_margin_std': 0.2753455340862274, 'beta_dpo/beta_margin_grad_mean': -0.42734894156455994, 'beta_dpo/beta_margin_grad_std': 0.06432215124368668, 'epoch': 0.55}
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55%|██████████████████████████████████████████████████████████████▌ | 374/681 [20:49<13:03, 2.55s/it]
55%|██████████████████████████████████████████████████████████████▊ | 375/681 [20:51<12:47, 2.51s/it]
{'loss': 0.5667, 'grad_norm': 13.200187683105469, 'learning_rate': 2.512833246961859e-07, 'beta_dpo/gap_mean': 333.14459228515625, 'beta_dpo/gap_std': 280.5745849609375, 'beta_dpo/beta_used_raw': 0.9554816484451294, 'beta_dpo/beta_used': 2.3931167125701904, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.409682273864746, 'logits/rejected': -2.407869815826416, 'beta_dpo/beta': 2.3931167125701904, 'beta_dpo/loss_margin_mean': 382.5895690917969, 'beta_dpo/beta_margin_mean': 1006.3369140625, 'beta_dpo/beta_margin_std': 1276.470947265625, 'beta_dpo/beta_margin_grad_mean': -0.20865072309970856, 'beta_dpo/beta_margin_grad_std': 0.216493159532547, 'epoch': 0.55}
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55%|██████████████████████████████████████████████████████████████▊ | 375/681 [20:51<12:47, 2.51s/it]
55%|██████████████████████████████████████████████████████████████▉ | 376/681 [20:54<12:38, 2.49s/it]
{'loss': 9.2557, 'grad_norm': 8034.6337890625, 'learning_rate': 2.5e-07, 'beta_dpo/gap_mean': 342.8294677734375, 'beta_dpo/gap_std': 288.7122802734375, 'beta_dpo/beta_used_raw': -0.2936529517173767, 'beta_dpo/beta_used': 0.5595067143440247, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4047350883483887, 'logits/rejected': -2.384918451309204, 'beta_dpo/beta': 0.5595067143440247, 'beta_dpo/loss_margin_mean': 393.45977783203125, 'beta_dpo/beta_margin_mean': 214.9127960205078, 'beta_dpo/beta_margin_std': 298.3186950683594, 'beta_dpo/beta_margin_grad_mean': -0.2484658807516098, 'beta_dpo/beta_margin_grad_std': 0.26340359449386597, 'epoch': 0.55}
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55%|██████████████████████████████████████████████████████████████▉ | 376/681 [20:54<12:38, 2.49s/it]
55%|███████████████████████████████████████████████████████████████ | 377/681 [20:56<12:35, 2.49s/it]
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55%|███████████████████████████████████████████████████████████████ | 377/681 [20:56<12:35, 2.49s/it]
56%|███████████████████████████████████████████████████████████████▎ | 378/681 [20:58<12:05, 2.40s/it]
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56%|███████████████████████████████████████████████████████████████▎ | 378/681 [20:59<12:05, 2.40s/it]
56%|███████████████████████████████████████████████████████████████▍ | 379/681 [21:01<12:08, 2.41s/it]
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56%|███████████████████████████████████████████████████████████████▍ | 379/681 [21:01<12:08, 2.41s/it]
56%|███████████████████████████████████████████████████████████████▌ | 380/681 [21:03<12:06, 2.41s/it]
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56%|███████████████████████████████████████████████████████████████▌ | 380/681 [21:03<12:06, 2.41s/it]
56%|███████████████████████████████████████████████████████████████▊ | 381/681 [21:06<12:12, 2.44s/it]
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56%|███████████████████████████████████████████████████████████████▊ | 381/681 [21:06<12:12, 2.44s/it]
56%|███████████████████████████████████████████████████████████████▉ | 382/681 [21:08<12:27, 2.50s/it]
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56%|███████████████████████████████████████████████████████████████▉ | 382/681 [21:09<12:27, 2.50s/it]
56%|████████████████████████████████████████████████████████████████ | 383/681 [21:11<12:33, 2.53s/it]
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56%|████████████████████████████████████████████████████████████████ | 383/681 [21:11<12:33, 2.53s/it]
56%|████████████████████████████████████████████████████████████████▎ | 384/681 [21:13<12:17, 2.48s/it]
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56%|████████████████████████████████████████████████████████████████▎ | 384/681 [21:13<12:17, 2.48s/it]
57%|████████████████████████████████████████████████████████████████▍ | 385/681 [21:16<12:02, 2.44s/it]
{'loss': 3.7171, 'grad_norm': 6151.4521484375, 'learning_rate': 2.3845413533856514e-07, 'beta_dpo/gap_mean': 334.78759765625, 'beta_dpo/gap_std': 289.0450744628906, 'beta_dpo/beta_used_raw': 0.1586916744709015, 'beta_dpo/beta_used': 0.5529597401618958, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.377863883972168, 'logits/rejected': -2.3569583892822266, 'beta_dpo/beta': 0.5529597401618958, 'beta_dpo/loss_margin_mean': 311.2054138183594, 'beta_dpo/beta_margin_mean': 192.6968536376953, 'beta_dpo/beta_margin_std': 267.4351501464844, 'beta_dpo/beta_margin_grad_mean': -0.23210173845291138, 'beta_dpo/beta_margin_grad_std': 0.24000734090805054, 'epoch': 0.57}
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57%|████████████████████████████████████████████████████████████████▍ | 385/681 [21:16<12:02, 2.44s/it]
57%|████████████████████████████████████████████████████████████████▌ | 386/681 [21:18<12:03, 2.45s/it]
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57%|████████████████████████████████████████████████████████████████▌ | 386/681 [21:18<12:03, 2.45s/it]
57%|████████████████████████████████████████████████████████████████▊ | 387/681 [21:21<12:07, 2.47s/it]
{'loss': 1.1311, 'grad_norm': 26.328731536865234, 'learning_rate': 2.3589086689101889e-07, 'beta_dpo/gap_mean': 335.63763427734375, 'beta_dpo/gap_std': 289.9078369140625, 'beta_dpo/beta_used_raw': -2.440854072570801, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.427687168121338, 'logits/rejected': -2.4119105339050293, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 306.8786926269531, 'beta_dpo/beta_margin_mean': 0.3068787157535553, 'beta_dpo/beta_margin_std': 0.30547431111335754, 'beta_dpo/beta_margin_grad_mean': -0.4257817566394806, 'beta_dpo/beta_margin_grad_std': 0.07243922352790833, 'epoch': 0.57}
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57%|████████████████████████████████████████████████████████████████▊ | 387/681 [21:21<12:07, 2.47s/it]
57%|████████████████████████████████████████████████████████████████▉ | 388/681 [21:23<11:59, 2.46s/it]
{'loss': 0.5682, 'grad_norm': 17.152055740356445, 'learning_rate': 2.3460977346651428e-07, 'beta_dpo/gap_mean': 341.0576477050781, 'beta_dpo/gap_std': 298.05126953125, 'beta_dpo/beta_used_raw': -0.10103893280029297, 'beta_dpo/beta_used': 1.6118403673171997, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.349907159805298, 'logits/rejected': -2.363679885864258, 'beta_dpo/beta': 1.6118403673171997, 'beta_dpo/loss_margin_mean': 380.3453063964844, 'beta_dpo/beta_margin_mean': 676.41845703125, 'beta_dpo/beta_margin_std': 1056.8880615234375, 'beta_dpo/beta_margin_grad_mean': -0.22462284564971924, 'beta_dpo/beta_margin_grad_std': 0.23515048623085022, 'epoch': 0.57}
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57%|████████████████████████████████████████████████████████████████▉ | 388/681 [21:23<11:59, 2.46s/it]
57%|█████████████████████████████████████████████████████████████████ | 389/681 [21:26<11:52, 2.44s/it]
{'loss': 1.1102, 'grad_norm': 23.256101608276367, 'learning_rate': 2.3332908558879177e-07, 'beta_dpo/gap_mean': 335.10137939453125, 'beta_dpo/gap_std': 306.0793762207031, 'beta_dpo/beta_used_raw': -1.094040870666504, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.379899024963379, 'logits/rejected': -2.373753309249878, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 295.5423583984375, 'beta_dpo/beta_margin_mean': 0.2955423891544342, 'beta_dpo/beta_margin_std': 0.36567941308021545, 'beta_dpo/beta_margin_grad_mean': -0.4282563030719757, 'beta_dpo/beta_margin_grad_std': 0.08526238799095154, 'epoch': 0.57}
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57%|█████████████████████████████████████████████████████████████████ | 389/681 [21:26<11:52, 2.44s/it]
57%|█████████████████████████████████████████████████████████████████▎ | 390/681 [21:28<11:51, 2.45s/it]
{'loss': 6.7076, 'grad_norm': 15604.0400390625, 'learning_rate': 2.320488370051681e-07, 'beta_dpo/gap_mean': 338.8628845214844, 'beta_dpo/gap_std': 316.99127197265625, 'beta_dpo/beta_used_raw': 0.6165112257003784, 'beta_dpo/beta_used': 0.6165112257003784, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3529043197631836, 'logits/rejected': -2.3543856143951416, 'beta_dpo/beta': 0.6165112257003784, 'beta_dpo/loss_margin_mean': 362.915771484375, 'beta_dpo/beta_margin_mean': 242.41787719726562, 'beta_dpo/beta_margin_std': 333.33306884765625, 'beta_dpo/beta_margin_grad_mean': -0.0921190157532692, 'beta_dpo/beta_margin_grad_std': 0.28663116693496704, 'epoch': 0.57}
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57%|█████████████████████████████████████████████████████████████████▎ | 390/681 [21:28<11:51, 2.45s/it]
57%|█████████████████████████████████████████████████████████████████▍ | 391/681 [21:31<11:53, 2.46s/it]
{'loss': 1.1553, 'grad_norm': 21.558528900146484, 'learning_rate': 2.3076906145138405e-07, 'beta_dpo/gap_mean': 328.48919677734375, 'beta_dpo/gap_std': 299.50042724609375, 'beta_dpo/beta_used_raw': -4.148557186126709, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3723154067993164, 'logits/rejected': -2.3779938220977783, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 269.7377624511719, 'beta_dpo/beta_margin_mean': 0.26973778009414673, 'beta_dpo/beta_margin_std': 0.25571221113204956, 'beta_dpo/beta_margin_grad_mean': -0.4340205192565918, 'beta_dpo/beta_margin_grad_std': 0.06161868944764137, 'epoch': 0.57}
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57%|█████████████████████████████████████████████████████████████████▍ | 391/681 [21:31<11:53, 2.46s/it]
58%|█████████████████████████████████████████████████████████████████▌ | 392/681 [21:33<11:56, 2.48s/it]
{'loss': 11.169, 'grad_norm': 8398.5751953125, 'learning_rate': 2.294897926507156e-07, 'beta_dpo/gap_mean': 332.79083251953125, 'beta_dpo/gap_std': 301.228271484375, 'beta_dpo/beta_used_raw': 1.9164685010910034, 'beta_dpo/beta_used': 1.9164685010910034, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.405207633972168, 'logits/rejected': -2.4119091033935547, 'beta_dpo/beta': 1.9164685010910034, 'beta_dpo/loss_margin_mean': 401.9228515625, 'beta_dpo/beta_margin_mean': 839.9161376953125, 'beta_dpo/beta_margin_std': 943.3709716796875, 'beta_dpo/beta_margin_grad_mean': -0.06281369924545288, 'beta_dpo/beta_margin_grad_std': 0.2419932633638382, 'epoch': 0.58}
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58%|█████████████████████████████████████████████████████████████████▌ | 392/681 [21:33<11:56, 2.48s/it]
58%|█████████████████████████████████████████████████████████████████▊ | 393/681 [21:36<11:47, 2.46s/it]
{'loss': 1.1245, 'grad_norm': 26.408864974975586, 'learning_rate': 2.2821106431308543e-07, 'beta_dpo/gap_mean': 336.00286865234375, 'beta_dpo/gap_std': 306.16607666015625, 'beta_dpo/beta_used_raw': -2.3607499599456787, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.376577854156494, 'logits/rejected': -2.37333345413208, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 313.7289123535156, 'beta_dpo/beta_margin_mean': 0.313728928565979, 'beta_dpo/beta_margin_std': 0.30085715651512146, 'beta_dpo/beta_margin_grad_mean': -0.4241882562637329, 'beta_dpo/beta_margin_grad_std': 0.07016981393098831, 'epoch': 0.58}
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58%|█████████████████████████████████████████████████████████████████▊ | 393/681 [21:36<11:47, 2.46s/it]
58%|█████████████████████████████████████████████████████████████████▉ | 394/681 [21:38<11:49, 2.47s/it]
{'loss': 3.1294, 'grad_norm': 19108.568359375, 'learning_rate': 2.2693291013417452e-07, 'beta_dpo/gap_mean': 340.67095947265625, 'beta_dpo/gap_std': 299.90325927734375, 'beta_dpo/beta_used_raw': 1.376448392868042, 'beta_dpo/beta_used': 1.376448392868042, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3865888118743896, 'logits/rejected': -2.3961262702941895, 'beta_dpo/beta': 1.376448392868042, 'beta_dpo/loss_margin_mean': 384.258544921875, 'beta_dpo/beta_margin_mean': 556.2864990234375, 'beta_dpo/beta_margin_std': 614.0519409179688, 'beta_dpo/beta_margin_grad_mean': -0.062322188168764114, 'beta_dpo/beta_margin_grad_std': 0.24126726388931274, 'epoch': 0.58}
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58%|█████████████████████████████████████████████████████████████████▉ | 394/681 [21:38<11:49, 2.47s/it]
58%|██████████████████████████████████████████████████████████████████ | 395/681 [21:41<12:07, 2.54s/it]
{'loss': 1.153, 'grad_norm': 23.2067813873291, 'learning_rate': 2.2565536379453404e-07, 'beta_dpo/gap_mean': 342.54486083984375, 'beta_dpo/gap_std': 305.68255615234375, 'beta_dpo/beta_used_raw': -4.202303886413574, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.386712074279785, 'logits/rejected': -2.381330966949463, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 325.36517333984375, 'beta_dpo/beta_margin_mean': 0.32536518573760986, 'beta_dpo/beta_margin_std': 0.3256779909133911, 'beta_dpo/beta_margin_grad_mean': -0.42161938548088074, 'beta_dpo/beta_margin_grad_std': 0.07712607830762863, 'epoch': 0.58}
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58%|██████████████████████████████████████████████████████████████████ | 395/681 [21:41<12:07, 2.54s/it]
58%|██████████████████████████████████████████████████████████████████▎ | 396/681 [21:43<12:09, 2.56s/it]
{'loss': 1.112, 'grad_norm': 22.437475204467773, 'learning_rate': 2.2437845895869825e-07, 'beta_dpo/gap_mean': 341.43377685546875, 'beta_dpo/gap_std': 311.3189697265625, 'beta_dpo/beta_used_raw': -2.017214775085449, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.412064552307129, 'logits/rejected': -2.3995161056518555, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 345.735107421875, 'beta_dpo/beta_margin_mean': 0.3457351326942444, 'beta_dpo/beta_margin_std': 0.32599034905433655, 'beta_dpo/beta_margin_grad_mean': -0.4167252480983734, 'beta_dpo/beta_margin_grad_std': 0.07602323591709137, 'epoch': 0.58}
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58%|██████████████████████████████████████████████████████████████████▎ | 396/681 [21:43<12:09, 2.56s/it]
58%|██████████████████████████████████████████████████████████████████▍ | 397/681 [21:46<11:56, 2.52s/it]
{'loss': 0.5404, 'grad_norm': 17.3627872467041, 'learning_rate': 2.2310222927429716e-07, 'beta_dpo/gap_mean': 355.73583984375, 'beta_dpo/gap_std': 323.22137451171875, 'beta_dpo/beta_used_raw': 0.6792468428611755, 'beta_dpo/beta_used': 0.7200398445129395, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3999505043029785, 'logits/rejected': -2.3841006755828857, 'beta_dpo/beta': 0.7200398445129395, 'beta_dpo/loss_margin_mean': 421.983154296875, 'beta_dpo/beta_margin_mean': 340.8731689453125, 'beta_dpo/beta_margin_std': 545.7304077148438, 'beta_dpo/beta_margin_grad_mean': -0.22126896679401398, 'beta_dpo/beta_margin_grad_std': 0.2345595508813858, 'epoch': 0.58}
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58%|██████████████████████████████████████████████████████████████████▍ | 397/681 [21:46<11:56, 2.52s/it]
58%|██████████████████████████████████████████████████████████████████▋ | 398/681 [21:48<11:38, 2.47s/it]
{'loss': 22.2563, 'grad_norm': 17113.068359375, 'learning_rate': 2.2182670837116972e-07, 'beta_dpo/gap_mean': 359.8270263671875, 'beta_dpo/gap_std': 337.1595153808594, 'beta_dpo/beta_used_raw': 1.0242469310760498, 'beta_dpo/beta_used': 1.0242469310760498, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.438488483428955, 'logits/rejected': -2.441718101501465, 'beta_dpo/beta': 1.0242469310760498, 'beta_dpo/loss_margin_mean': 382.2912292480469, 'beta_dpo/beta_margin_mean': 392.9497985839844, 'beta_dpo/beta_margin_std': 412.2462463378906, 'beta_dpo/beta_margin_grad_mean': -0.14056435227394104, 'beta_dpo/beta_margin_grad_std': 0.34748461842536926, 'epoch': 0.58}
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58%|██████████████████████████████████████████████████████████████████▋ | 398/681 [21:48<11:38, 2.47s/it]
59%|██████████████████████████████████████████████████████████████████▊ | 399/681 [21:51<11:32, 2.45s/it]
{'loss': 1.1024, 'grad_norm': 25.74508285522461, 'learning_rate': 2.2055192986047804e-07, 'beta_dpo/gap_mean': 361.33551025390625, 'beta_dpo/gap_std': 341.2704162597656, 'beta_dpo/beta_used_raw': -1.7503660917282104, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4001259803771973, 'logits/rejected': -2.3805899620056152, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 355.8642883300781, 'beta_dpo/beta_margin_mean': 0.3558643162250519, 'beta_dpo/beta_margin_std': 0.3342893421649933, 'beta_dpo/beta_margin_grad_mean': -0.41422000527381897, 'beta_dpo/beta_margin_grad_std': 0.07931336015462875, 'epoch': 0.59}
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59%|██████████████████████████████████████████████████████████████████▊ | 399/681 [21:51<11:32, 2.45s/it]
59%|██████████████████████████████████████████████████████████████████▉ | 400/681 [21:53<11:36, 2.48s/it]
{'loss': 3.7878, 'grad_norm': 8530.029296875, 'learning_rate': 2.192779273338215e-07, 'beta_dpo/gap_mean': 361.3894348144531, 'beta_dpo/gap_std': 336.9342956542969, 'beta_dpo/beta_used_raw': 0.03512483835220337, 'beta_dpo/beta_used': 0.27362868189811707, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4256482124328613, 'logits/rejected': -2.4234414100646973, 'beta_dpo/beta': 0.27362868189811707, 'beta_dpo/loss_margin_mean': 369.5531921386719, 'beta_dpo/beta_margin_mean': 99.65248107910156, 'beta_dpo/beta_margin_std': 166.322265625, 'beta_dpo/beta_margin_grad_mean': -0.26691824197769165, 'beta_dpo/beta_margin_grad_std': 0.2769628167152405, 'epoch': 0.59}
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59%|██████████████████████████████████████████████████████████████████▉ | 400/681 [21:53<11:36, 2.48s/it][INFO|trainer.py:4307] 2026-04-18 06:27:37,661 >>
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|
***** Running Evaluation *****
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[INFO|trainer.py:4309] 2026-04-18 06:27:37,661 >> Num examples = 2339
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[INFO|trainer.py:4312] 2026-04-18 06:27:37,661 >> Batch size = 8
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42%|█████████████████████████████████████████████████▎ | 31/73 [00:15<00:21, 1.95it/s][A
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44%|██████████████████████████████████████████████████▊ | 32/73 [00:16<00:20, 1.97it/s][A
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45%|████████████████████████████████████████████████████▍ | 33/73 [00:16<00:20, 1.96it/s][A
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48%|███████████████████████████████████████████████████████▌ | 35/73 [00:17<00:19, 1.94it/s][A
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49%|█████████████████████████████████████████████████████████▏ | 36/73 [00:18<00:18, 1.95it/s][A
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51%|██████████████████████████████████████████████████████████▊ | 37/73 [00:18<00:18, 1.90it/s][A
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52%|████████████████████████████████████████████████████████████▍ | 38/73 [00:19<00:17, 1.96it/s][A
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53%|█████████████████████████████████████████████████████████████▉ | 39/73 [00:19<00:17, 1.94it/s][A
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55%|███████████████████████████████████████████████████████████████▌ | 40/73 [00:20<00:16, 1.95it/s][A
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56%|█████████████████████████████████████████████████████████████████▏ | 41/73 [00:20<00:16, 1.96it/s][A
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58%|██████████████████████████████████████████████████████████████████▋ | 42/73 [00:21<00:16, 1.93it/s][A
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59%|████████████████████████████████████████████████████████████████████▎ | 43/73 [00:21<00:15, 1.90it/s][A
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60%|█████████████████████████████████████████████████████████████████████▉ | 44/73 [00:22<00:15, 1.88it/s][A
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62%|███████████████████████████████████████████████████████████████████████▌ | 45/73 [00:22<00:15, 1.86it/s][A
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63%|█████████████████████████████████████████████████████████████████████████ | 46/73 [00:23<00:14, 1.90it/s][A
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64%|██████████████████████████████████████████████████████████████████████████▋ | 47/73 [00:23<00:13, 1.92it/s][A
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66%|████████████████████████████████████████████████████████████████████████████▎ | 48/73 [00:24<00:12, 1.96it/s][A
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67%|█████████████████████████████████████████████████████████████████████████████▊ | 49/73 [00:24<00:12, 1.91it/s][A
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68%|███████████████████████████████████████████████████████████████████████████████▍ | 50/73 [00:25<00:12, 1.89it/s][A
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77%|████████████████████████████████████████████████████████████████████████████████████████▉ | 56/73 [00:28<00:08, 2.00it/s][A
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78%|██████████████████████████████████████████████████████████████████████████████████████████▌ | 57/73 [00:28<00:08, 1.94it/s][A
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79%|████████████████████████████████████████████████████████████████████████████████████████████▏ | 58/73 [00:29<00:07, 1.97it/s][A
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81%|█████████████████████████████████████████████████████████████████████████████████████████████▊ | 59/73 [00:30<00:07, 1.90it/s][A
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82%|███████████████████████████████████████████████████████████████████████████████████████████████▎ | 60/73 [00:30<00:06, 1.91it/s][A
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84%|████████████████████████████████████████████████████████████████████████████████████████████████▉ | 61/73 [00:31<00:06, 1.90it/s][A
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85%|██████████████████████████████████████████████████████████████████████████████████████████████████▌ | 62/73 [00:31<00:05, 1.87it/s][A
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89%|███████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 65/73 [00:33<00:04, 1.90it/s][A
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90%|████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 66/73 [00:33<00:03, 1.89it/s][A
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93%|████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 68/73 [00:34<00:02, 1.89it/s][A
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95%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 69/73 [00:35<00:01, 2.00it/s][A
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96%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 70/73 [00:35<00:01, 1.95it/s][A
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97%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 71/73 [00:36<00:01, 1.93it/s][A
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99%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 72/73 [00:36<00:00, 1.91it/s][A
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100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 73/73 [00:37<00:00, 2.03it/s][A
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[A{'eval_loss': 0.6121687293052673, 'eval_runtime': 37.7883, 'eval_samples_per_second': 61.897, 'eval_steps_per_second': 1.958, 'eval_beta_dpo/beta': 0.0010000000474974513, 'eval_beta_dpo/loss_margin_mean': 205.41256713867188, 'eval_beta_dpo/beta_margin_mean': 0.2054125964641571, 'eval_beta_dpo/beta_margin_std': 0.35709553956985474, 'eval_beta_dpo/beta_margin_grad_mean': -0.45058003067970276, 'eval_beta_dpo/beta_margin_grad_std': 0.08448585122823715, 'eval_beta_dpo/gap_mean': 362.1024475097656, 'eval_beta_dpo/gap_std': 333.2911682128906, 'eval_beta_dpo/beta_used_raw': -9.301395416259766, 'eval_beta_dpo/beta_used': 0.0010000000474974513, 'eval_beta_dpo/mask_keep_frac': 1.0, 'eval_logits/chosen': -2.443066358566284, 'eval_logits/rejected': -2.4332497119903564, 'epoch': 0.59}
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59%|██████████████████████████████████████████████████████████████████▉ | 400/681 [22:31<11:36, 2.48s/it]
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100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 73/73 [00:37<00:00, 2.03it/s][A
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[A[INFO|trainer.py:3984] 2026-04-18 06:28:29,471 >> Saving model checkpoint to /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-400
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[INFO|configuration_utils.py:419] 2026-04-18 06:28:29,583 >> Configuration saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-400/config.json
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[INFO|configuration_utils.py:911] 2026-04-18 06:28:29,675 >> Configuration saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-400/generation_config.json
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[INFO|modeling_utils.py:3580] 2026-04-18 06:29:07,601 >> The model is bigger than the maximum size per checkpoint (5GB) and is going to be split in 6 checkpoint shards. You can find where each parameters has been saved in the index located at /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-400/model.safetensors.index.json.
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[INFO|tokenization_utils_base.py:2510] 2026-04-18 06:29:07,617 >> tokenizer config file saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-400/tokenizer_config.json
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[INFO|tokenization_utils_base.py:2519] 2026-04-18 06:29:07,626 >> Special tokens file saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-400/special_tokens_map.json
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{'loss': 3.0841, 'grad_norm': 3323.7548828125, 'learning_rate': 2.1800473436235136e-07, 'beta_dpo/gap_mean': 361.82781982421875, 'beta_dpo/gap_std': 342.1406555175781, 'beta_dpo/beta_used_raw': -1.9135266542434692, 'beta_dpo/beta_used': 1.0822142362594604, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4136600494384766, 'logits/rejected': -2.4133119583129883, 'beta_dpo/beta': 1.0822142362594604, 'beta_dpo/loss_margin_mean': 327.20556640625, 'beta_dpo/beta_margin_mean': 469.0853576660156, 'beta_dpo/beta_margin_std': 778.7431030273438, 'beta_dpo/beta_margin_grad_mean': -0.27038997411727905, 'beta_dpo/beta_margin_grad_std': 0.27789729833602905, 'epoch': 0.59}
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{'loss': 1.1155, 'grad_norm': 22.399593353271484, 'learning_rate': 2.1673238449588665e-07, 'beta_dpo/gap_mean': 353.83746337890625, 'beta_dpo/gap_std': 333.810302734375, 'beta_dpo/beta_used_raw': -2.9857521057128906, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.428457736968994, 'logits/rejected': -2.423470973968506, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 353.67242431640625, 'beta_dpo/beta_margin_mean': 0.35367244482040405, 'beta_dpo/beta_margin_std': 0.2750694453716278, 'beta_dpo/beta_margin_grad_mean': -0.41412436962127686, 'beta_dpo/beta_margin_grad_std': 0.0651504173874855, 'epoch': 0.59}
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59%|██████████████████████████████████████████████████████████████████ | 402/681 [26:06<4:13:10, 54.45s/it]
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{'loss': 0.5649, 'grad_norm': 11.740818977355957, 'learning_rate': 2.154609112620295e-07, 'beta_dpo/gap_mean': 355.718994140625, 'beta_dpo/gap_std': 329.26959228515625, 'beta_dpo/beta_used_raw': 0.7853410243988037, 'beta_dpo/beta_used': 2.470536470413208, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.408144474029541, 'logits/rejected': -2.403205394744873, 'beta_dpo/beta': 2.470536470413208, 'beta_dpo/loss_margin_mean': 364.1114807128906, 'beta_dpo/beta_margin_mean': 895.9714965820312, 'beta_dpo/beta_margin_std': 1318.6358642578125, 'beta_dpo/beta_margin_grad_mean': -0.2379431277513504, 'beta_dpo/beta_margin_grad_std': 0.2529750466346741, 'epoch': 0.59}
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59%|██████████████████████████████████████████████████████████████████▎ | 403/681 [26:08<2:59:57, 38.84s/it]
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{'loss': 1.1159, 'grad_norm': 22.172229766845703, 'learning_rate': 2.1419034816528218e-07, 'beta_dpo/gap_mean': 351.60748291015625, 'beta_dpo/gap_std': 336.61431884765625, 'beta_dpo/beta_used_raw': -2.5054094791412354, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3768763542175293, 'logits/rejected': -2.3775620460510254, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 334.2151794433594, 'beta_dpo/beta_margin_mean': 0.3342151939868927, 'beta_dpo/beta_margin_std': 0.3467388153076172, 'beta_dpo/beta_margin_grad_mean': -0.4196135401725769, 'beta_dpo/beta_margin_grad_std': 0.08152054995298386, 'epoch': 0.59}
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59%|██████████████████████████████████████████████████████████████████▍ | 404/681 [26:11<2:09:05, 27.96s/it]
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{'loss': 1.1631, 'grad_norm': 24.03404426574707, 'learning_rate': 2.129207286861638e-07, 'beta_dpo/gap_mean': 349.62945556640625, 'beta_dpo/gap_std': 341.0721435546875, 'beta_dpo/beta_used_raw': -5.212499618530273, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.394247531890869, 'logits/rejected': -2.390904426574707, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 345.2384338378906, 'beta_dpo/beta_margin_mean': 0.34523844718933105, 'beta_dpo/beta_margin_std': 0.38265952467918396, 'beta_dpo/beta_margin_grad_mean': -0.4178047478199005, 'beta_dpo/beta_margin_grad_std': 0.08822597563266754, 'epoch': 0.59}
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59%|██████████████████████████████████████████████████████████████████▌ | 405/681 [26:13<1:33:18, 20.28s/it]
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{'loss': 1.0938, 'grad_norm': 22.132526397705078, 'learning_rate': 2.1165208628032861e-07, 'beta_dpo/gap_mean': 353.78961181640625, 'beta_dpo/gap_std': 335.23284912109375, 'beta_dpo/beta_used_raw': -1.0216950178146362, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3941879272460938, 'logits/rejected': -2.3966739177703857, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 381.6227722167969, 'beta_dpo/beta_margin_mean': 0.3816227912902832, 'beta_dpo/beta_margin_std': 0.29813575744628906, 'beta_dpo/beta_margin_grad_mean': -0.40800565481185913, 'beta_dpo/beta_margin_grad_std': 0.06867733597755432, 'epoch': 0.6}
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60%|██████████████████████████████████████████████████████████████████▊ | 406/681 [26:15<1:08:28, 14.94s/it]
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{'loss': 7.8766, 'grad_norm': 15591.009765625, 'learning_rate': 2.1038445437768375e-07, 'beta_dpo/gap_mean': 344.74383544921875, 'beta_dpo/gap_std': 335.9972229003906, 'beta_dpo/beta_used_raw': -1.0896592140197754, 'beta_dpo/beta_used': 1.3681471347808838, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4210031032562256, 'logits/rejected': -2.4093196392059326, 'beta_dpo/beta': 1.3681471347808838, 'beta_dpo/loss_margin_mean': 297.04425048828125, 'beta_dpo/beta_margin_mean': 529.73486328125, 'beta_dpo/beta_margin_std': 880.0147094726562, 'beta_dpo/beta_margin_grad_mean': -0.2872449457645416, 'beta_dpo/beta_margin_grad_std': 0.2897031307220459, 'epoch': 0.6}
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60%|████████████████████████████████████████████████████████████████████▏ | 407/681 [26:18<51:20, 11.24s/it]
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{'loss': 2.3999, 'grad_norm': 2112.055419921875, 'learning_rate': 2.0911786638150872e-07, 'beta_dpo/gap_mean': 342.59320068359375, 'beta_dpo/gap_std': 329.6495361328125, 'beta_dpo/beta_used_raw': -1.5166099071502686, 'beta_dpo/beta_used': 0.12347578257322311, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4404101371765137, 'logits/rejected': -2.420276641845703, 'beta_dpo/beta': 0.12347578257322311, 'beta_dpo/loss_margin_mean': 304.6890563964844, 'beta_dpo/beta_margin_mean': 42.36891174316406, 'beta_dpo/beta_margin_std': 62.56731414794922, 'beta_dpo/beta_margin_grad_mean': -0.28025034070014954, 'beta_dpo/beta_margin_grad_std': 0.2851478159427643, 'epoch': 0.6}
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60%|████████████████████████████████████████████████████████████████████▎ | 408/681 [26:21<39:28, 8.68s/it]
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{'loss': 1.1187, 'grad_norm': 20.568885803222656, 'learning_rate': 2.0785235566757517e-07, 'beta_dpo/gap_mean': 331.255126953125, 'beta_dpo/gap_std': 332.9500732421875, 'beta_dpo/beta_used_raw': -1.490858793258667, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4326343536376953, 'logits/rejected': -2.4223175048828125, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 292.28662109375, 'beta_dpo/beta_margin_mean': 0.29228663444519043, 'beta_dpo/beta_margin_std': 0.34818896651268005, 'beta_dpo/beta_margin_grad_mean': -0.4296059310436249, 'beta_dpo/beta_margin_grad_std': 0.08227775245904922, 'epoch': 0.6}
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60%|████████████████████████████████████████████████████████████████████▍ | 409/681 [26:23<31:00, 6.84s/it]
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{'loss': 1.872, 'grad_norm': 28801.537109375, 'learning_rate': 2.065879555832674e-07, 'beta_dpo/gap_mean': 334.65582275390625, 'beta_dpo/gap_std': 324.4977111816406, 'beta_dpo/beta_used_raw': 0.11705267429351807, 'beta_dpo/beta_used': 1.8076552152633667, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.426015853881836, 'logits/rejected': -2.4410088062286377, 'beta_dpo/beta': 1.8076552152633667, 'beta_dpo/loss_margin_mean': 339.3305358886719, 'beta_dpo/beta_margin_mean': 749.4814453125, 'beta_dpo/beta_margin_std': 1033.7783203125, 'beta_dpo/beta_margin_grad_mean': -0.24894118309020996, 'beta_dpo/beta_margin_grad_std': 0.2569856345653534, 'epoch': 0.6}
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60%|████████████████████████████████████████████████████████████████████▋ | 410/681 [26:26<24:47, 5.49s/it]
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{'loss': 1.1076, 'grad_norm': 19.184236526489258, 'learning_rate': 2.0532469944670343e-07, 'beta_dpo/gap_mean': 335.4295654296875, 'beta_dpo/gap_std': 315.85736083984375, 'beta_dpo/beta_used_raw': -1.1547770500183105, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.3894524574279785, 'logits/rejected': -2.401761293411255, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 353.8236083984375, 'beta_dpo/beta_margin_mean': 0.35382363200187683, 'beta_dpo/beta_margin_std': 0.27380073070526123, 'beta_dpo/beta_margin_grad_mean': -0.4142020046710968, 'beta_dpo/beta_margin_grad_std': 0.06422904133796692, 'epoch': 0.6}
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60%|████████████████████████████████████████████████████████████████████▊ | 411/681 [26:28<20:28, 4.55s/it]
60%|████████████████████████████████████████████████████████████████████▉ | 412/681 [26:30<17:26, 3.89s/it]
{'loss': 1.1086, 'grad_norm': 22.225645065307617, 'learning_rate': 2.0406262054585738e-07, 'beta_dpo/gap_mean': 340.3641052246094, 'beta_dpo/gap_std': 316.4858093261719, 'beta_dpo/beta_used_raw': -1.261457920074463, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.419179677963257, 'logits/rejected': -2.4454574584960938, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 394.83026123046875, 'beta_dpo/beta_margin_mean': 0.39483025670051575, 'beta_dpo/beta_margin_std': 0.3526383638381958, 'beta_dpo/beta_margin_grad_mean': -0.4059164226055145, 'beta_dpo/beta_margin_grad_std': 0.07964363694190979, 'epoch': 0.6}
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60%|████████████████████████████████████████████████████████████████████▉ | 412/681 [26:30<17:26, 3.89s/it]
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{'loss': 7.296, 'grad_norm': 12787.8896484375, 'learning_rate': 2.0280175213768205e-07, 'beta_dpo/gap_mean': 349.16204833984375, 'beta_dpo/gap_std': 321.62481689453125, 'beta_dpo/beta_used_raw': 0.9109219908714294, 'beta_dpo/beta_used': 0.9109219908714294, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.421027660369873, 'logits/rejected': -2.4294235706329346, 'beta_dpo/beta': 0.9109219908714294, 'beta_dpo/loss_margin_mean': 370.2857666015625, 'beta_dpo/beta_margin_mean': 362.6519775390625, 'beta_dpo/beta_margin_std': 495.7064514160156, 'beta_dpo/beta_margin_grad_mean': -0.09896637499332428, 'beta_dpo/beta_margin_grad_std': 0.2925999164581299, 'epoch': 0.61}
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61%|█████████████████████████████████████████████████████████████████████▏ | 413/681 [26:33<15:22, 3.44s/it]
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{'loss': 0.5842, 'grad_norm': 15.694453239440918, 'learning_rate': 2.0154212744723247e-07, 'beta_dpo/gap_mean': 347.5014343261719, 'beta_dpo/gap_std': 315.90374755859375, 'beta_dpo/beta_used_raw': -0.48015403747558594, 'beta_dpo/beta_used': 2.4083163738250732, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4023854732513428, 'logits/rejected': -2.420386552810669, 'beta_dpo/beta': 2.4083163738250732, 'beta_dpo/loss_margin_mean': 354.2364501953125, 'beta_dpo/beta_margin_mean': 1103.0013427734375, 'beta_dpo/beta_margin_std': 1460.6190185546875, 'beta_dpo/beta_margin_grad_mean': -0.23511956632137299, 'beta_dpo/beta_margin_grad_std': 0.24318645894527435, 'epoch': 0.61}
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61%|█████████████████████████████████████████████████████████████████████▎ | 414/681 [26:35<14:03, 3.16s/it]
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{'loss': 1.1358, 'grad_norm': 24.613069534301758, 'learning_rate': 2.002837796667909e-07, 'beta_dpo/gap_mean': 357.978271484375, 'beta_dpo/gap_std': 318.06103515625, 'beta_dpo/beta_used_raw': -4.372532367706299, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.423779010772705, 'logits/rejected': -2.4402318000793457, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 355.1910095214844, 'beta_dpo/beta_margin_mean': 0.35519102215766907, 'beta_dpo/beta_margin_std': 0.3411670923233032, 'beta_dpo/beta_margin_grad_mean': -0.41483768820762634, 'beta_dpo/beta_margin_grad_std': 0.07904361933469772, 'epoch': 0.61}
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61%|█████████████████████████████████████████████████████████████████████▍ | 415/681 [26:38<13:15, 2.99s/it]
61%|█████████████████████████████████████████████████████████████████████▋ | 416/681 [26:40<12:33, 2.84s/it]
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61%|█████████████████████████████████████████████████████████████████████▋ | 416/681 [26:40<12:33, 2.84s/it]
61%|█████████████████████████████████████████████████████████████████████▊ | 417/681 [26:43<12:00, 2.73s/it]
{'loss': 12.2488, 'grad_norm': 27230.5078125, 'learning_rate': 1.9777104743594686e-07, 'beta_dpo/gap_mean': 356.74456787109375, 'beta_dpo/gap_std': 307.15887451171875, 'beta_dpo/beta_used_raw': -0.30419254302978516, 'beta_dpo/beta_used': 0.37648269534111023, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.422550678253174, 'logits/rejected': -2.4108152389526367, 'beta_dpo/beta': 0.37648269534111023, 'beta_dpo/loss_margin_mean': 345.98773193359375, 'beta_dpo/beta_margin_mean': 133.46795654296875, 'beta_dpo/beta_margin_std': 200.62649536132812, 'beta_dpo/beta_margin_grad_mean': -0.27004316449165344, 'beta_dpo/beta_margin_grad_std': 0.277245432138443, 'epoch': 0.61}
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61%|█████████████████████████████████████████████████████████████████████▊ | 417/681 [26:43<12:00, 2.73s/it]
61%|█████████████████████████████████████████████████████████████████████▉ | 418/681 [26:45<11:44, 2.68s/it]
{'loss': 0.5562, 'grad_norm': 15.336505889892578, 'learning_rate': 1.965167291983757e-07, 'beta_dpo/gap_mean': 356.8074645996094, 'beta_dpo/gap_std': 310.31988525390625, 'beta_dpo/beta_used_raw': 2.9994614124298096, 'beta_dpo/beta_used': 3.925933837890625, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4672048091888428, 'logits/rejected': -2.467080593109131, 'beta_dpo/beta': 3.925933837890625, 'beta_dpo/loss_margin_mean': 394.4806213378906, 'beta_dpo/beta_margin_mean': 1944.69580078125, 'beta_dpo/beta_margin_std': 2413.48388671875, 'beta_dpo/beta_margin_grad_mean': -0.21461881697177887, 'beta_dpo/beta_margin_grad_std': 0.22274993360042572, 'epoch': 0.61}
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61%|█████████████████████████████████████████████████████████████████████▉ | 418/681 [26:45<11:44, 2.68s/it]
62%|██████████████████████████████████████████████████████████████████████▏ | 419/681 [26:48<11:28, 2.63s/it]
{'loss': 0.6635, 'grad_norm': 3546.734375, 'learning_rate': 1.9526382029472988e-07, 'beta_dpo/gap_mean': 366.676513671875, 'beta_dpo/gap_std': 303.807373046875, 'beta_dpo/beta_used_raw': -0.4406244158744812, 'beta_dpo/beta_used': 0.24180491268634796, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4470913410186768, 'logits/rejected': -2.453092336654663, 'beta_dpo/beta': 0.24180491268634796, 'beta_dpo/loss_margin_mean': 380.661376953125, 'beta_dpo/beta_margin_mean': 92.98143005371094, 'beta_dpo/beta_margin_std': 130.87518310546875, 'beta_dpo/beta_margin_grad_mean': -0.24379843473434448, 'beta_dpo/beta_margin_grad_std': 0.24562664330005646, 'epoch': 0.62}
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62%|██████████████████████████████████████████████████████████████████████▏ | 419/681 [26:48<11:28, 2.63s/it]
62%|██████████████████████████████████████████████████████████████████████▎ | 420/681 [26:50<11:26, 2.63s/it]
{'loss': 14.9604, 'grad_norm': 19327.3125, 'learning_rate': 1.9401235374032425e-07, 'beta_dpo/gap_mean': 362.47210693359375, 'beta_dpo/gap_std': 298.56646728515625, 'beta_dpo/beta_used_raw': 1.377697229385376, 'beta_dpo/beta_used': 1.377697229385376, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.411374092102051, 'logits/rejected': -2.393552780151367, 'beta_dpo/beta': 1.377697229385376, 'beta_dpo/loss_margin_mean': 335.21160888671875, 'beta_dpo/beta_margin_mean': 463.7217102050781, 'beta_dpo/beta_margin_std': 575.2052612304688, 'beta_dpo/beta_margin_grad_mean': -0.12197641283273697, 'beta_dpo/beta_margin_grad_std': 0.32349058985710144, 'epoch': 0.62}
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62%|██████████████████████████████████████████████████████████████████████▎ | 420/681 [26:50<11:26, 2.63s/it]
62%|██████████████████████████████████████████████████████████████████████▍ | 421/681 [26:53<11:09, 2.57s/it]
{'loss': 1.0969, 'grad_norm': 20.577306747436523, 'learning_rate': 1.9276236251246653e-07, 'beta_dpo/gap_mean': 360.69580078125, 'beta_dpo/gap_std': 296.3153076171875, 'beta_dpo/beta_used_raw': -1.6941306591033936, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4650721549987793, 'logits/rejected': -2.475637912750244, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 365.2017517089844, 'beta_dpo/beta_margin_mean': 0.36520177125930786, 'beta_dpo/beta_margin_std': 0.29842692613601685, 'beta_dpo/beta_margin_grad_mean': -0.411777138710022, 'beta_dpo/beta_margin_grad_std': 0.07005602866411209, 'epoch': 0.62}
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62%|██████████████████████████████████████████████████████████████████████▍ | 421/681 [26:53<11:09, 2.57s/it]
62%|██████████████████████████████████████████████████████████████████████▋ | 422/681 [26:55<11:01, 2.55s/it]
{'loss': 1.1011, 'grad_norm': 27.27686309814453, 'learning_rate': 1.9151387954958792e-07, 'beta_dpo/gap_mean': 356.1475524902344, 'beta_dpo/gap_std': 305.0068664550781, 'beta_dpo/beta_used_raw': -1.5142788887023926, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.433502674102783, 'logits/rejected': -2.4503097534179688, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 305.07244873046875, 'beta_dpo/beta_margin_mean': 0.30507245659828186, 'beta_dpo/beta_margin_std': 0.3505830466747284, 'beta_dpo/beta_margin_grad_mean': -0.4262285530567169, 'beta_dpo/beta_margin_grad_std': 0.08390183001756668, 'epoch': 0.62}
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62%|██████████████████████████████████████████████████████████████████████▋ | 422/681 [26:55<11:01, 2.55s/it]
62%|██████████████████████████████████████████████████████████████████████▊ | 423/681 [26:58<10:38, 2.48s/it]
{'loss': 27.8684, 'grad_norm': 49413.26953125, 'learning_rate': 1.902669377503756e-07, 'beta_dpo/gap_mean': 355.60418701171875, 'beta_dpo/gap_std': 305.63763427734375, 'beta_dpo/beta_used_raw': 2.667612075805664, 'beta_dpo/beta_used': 2.667612075805664, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4104795455932617, 'logits/rejected': -2.43206787109375, 'beta_dpo/beta': 2.667612075805664, 'beta_dpo/loss_margin_mean': 379.52520751953125, 'beta_dpo/beta_margin_mean': 1046.2611083984375, 'beta_dpo/beta_margin_std': 1394.6136474609375, 'beta_dpo/beta_margin_grad_mean': -0.09069596976041794, 'beta_dpo/beta_margin_grad_std': 0.2812235653400421, 'epoch': 0.62}
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62%|██████████████████████████████████████████████████████████████████████▊ | 423/681 [26:58<10:38, 2.48s/it]
62%|██████████████████████████████████████████████████████████████████████▉ | 424/681 [27:00<10:39, 2.49s/it]
{'loss': 1.9952, 'grad_norm': 2292.713134765625, 'learning_rate': 1.890215699729057e-07, 'beta_dpo/gap_mean': 350.1261291503906, 'beta_dpo/gap_std': 303.9034729003906, 'beta_dpo/beta_used_raw': -1.0671793222427368, 'beta_dpo/beta_used': 0.14746440947055817, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.436124086380005, 'logits/rejected': -2.434342861175537, 'beta_dpo/beta': 0.14746440947055817, 'beta_dpo/loss_margin_mean': 301.35723876953125, 'beta_dpo/beta_margin_mean': 50.7834587097168, 'beta_dpo/beta_margin_std': 84.9849624633789, 'beta_dpo/beta_margin_grad_mean': -0.2809794247150421, 'beta_dpo/beta_margin_grad_std': 0.2841648757457733, 'epoch': 0.62}
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62%|██████████████████████████████████████████████████████████████████████▉ | 424/681 [27:00<10:39, 2.49s/it]
62%|███████████████████████████████████████████████████████████████████████▏ | 425/681 [27:03<10:31, 2.47s/it]
{'loss': 2.1748, 'grad_norm': 3245.521240234375, 'learning_rate': 1.8777780903377732e-07, 'beta_dpo/gap_mean': 347.618896484375, 'beta_dpo/gap_std': 309.3476257324219, 'beta_dpo/beta_used_raw': -0.04413789510726929, 'beta_dpo/beta_used': 0.3063303828239441, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4158806800842285, 'logits/rejected': -2.452991008758545, 'beta_dpo/beta': 0.3063303828239441, 'beta_dpo/loss_margin_mean': 364.8583068847656, 'beta_dpo/beta_margin_mean': 115.15734100341797, 'beta_dpo/beta_margin_std': 173.1321258544922, 'beta_dpo/beta_margin_grad_mean': -0.2702360153198242, 'beta_dpo/beta_margin_grad_std': 0.28220611810684204, 'epoch': 0.62}
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62%|███████████████████████████████████████████████████████████████████████▏ | 425/681 [27:03<10:31, 2.47s/it]
63%|███████████████████████████████████████████████████████████████████████▎ | 426/681 [27:05<10:21, 2.44s/it]
{'loss': 0.5759, 'grad_norm': 20.291976928710938, 'learning_rate': 1.8653568770724803e-07, 'beta_dpo/gap_mean': 343.1509704589844, 'beta_dpo/gap_std': 309.1755676269531, 'beta_dpo/beta_used_raw': 0.11249232292175293, 'beta_dpo/beta_used': 2.3221449851989746, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4429891109466553, 'logits/rejected': -2.435697078704834, 'beta_dpo/beta': 2.3221449851989746, 'beta_dpo/loss_margin_mean': 330.6883850097656, 'beta_dpo/beta_margin_mean': 937.5267944335938, 'beta_dpo/beta_margin_std': 1492.68994140625, 'beta_dpo/beta_margin_grad_mean': -0.23410384356975555, 'beta_dpo/beta_margin_grad_std': 0.2420140653848648, 'epoch': 0.63}
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63%|███████████████████████████████████████████████████████████████████████▎ | 426/681 [27:05<10:21, 2.44s/it]
63%|███████████████████████████████████████████████████████████████████████▍ | 427/681 [27:07<10:20, 2.44s/it]
{'loss': 1.797, 'grad_norm': 1669.3848876953125, 'learning_rate': 1.8529523872436977e-07, 'beta_dpo/gap_mean': 339.93310546875, 'beta_dpo/gap_std': 314.22222900390625, 'beta_dpo/beta_used_raw': -2.2542648315429688, 'beta_dpo/beta_used': 0.05136517435312271, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.484468460083008, 'logits/rejected': -2.4828639030456543, 'beta_dpo/beta': 0.05136517435312271, 'beta_dpo/loss_margin_mean': 297.6253662109375, 'beta_dpo/beta_margin_mean': 14.553664207458496, 'beta_dpo/beta_margin_std': 25.774181365966797, 'beta_dpo/beta_margin_grad_mean': -0.29277148842811584, 'beta_dpo/beta_margin_grad_std': 0.290822833776474, 'epoch': 0.63}
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63%|███████████████████████████████████████████████████████████████████████▍ | 427/681 [27:07<10:20, 2.44s/it]
63%|███████████████████████████████████████████████████████████████████████▋ | 428/681 [27:10<10:23, 2.46s/it]
{'loss': 1.1086, 'grad_norm': 29.064952850341797, 'learning_rate': 1.8405649477212697e-07, 'beta_dpo/gap_mean': 344.0052490234375, 'beta_dpo/gap_std': 324.0714416503906, 'beta_dpo/beta_used_raw': -1.5234259366989136, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.44685697555542, 'logits/rejected': -2.4712371826171875, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 393.49945068359375, 'beta_dpo/beta_margin_mean': 0.3934994637966156, 'beta_dpo/beta_margin_std': 0.36640259623527527, 'beta_dpo/beta_margin_grad_mean': -0.4063303768634796, 'beta_dpo/beta_margin_grad_std': 0.08325894176959991, 'epoch': 0.63}
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63%|███████████████████████████████████████████████████████████████████████▋ | 428/681 [27:10<10:23, 2.46s/it]
63%|███████████████████████████████████████████████████████████████████████▊ | 429/681 [27:12<10:25, 2.48s/it]
{'loss': 23.4925, 'grad_norm': 38852.13671875, 'learning_rate': 1.828194884925749e-07, 'beta_dpo/gap_mean': 350.4301452636719, 'beta_dpo/gap_std': 327.36663818359375, 'beta_dpo/beta_used_raw': 0.639708936214447, 'beta_dpo/beta_used': 1.4477723836898804, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4718470573425293, 'logits/rejected': -2.4727447032928467, 'beta_dpo/beta': 1.4477723836898804, 'beta_dpo/loss_margin_mean': 378.28228759765625, 'beta_dpo/beta_margin_mean': 609.0072631835938, 'beta_dpo/beta_margin_std': 894.19482421875, 'beta_dpo/beta_margin_grad_mean': -0.2723529636859894, 'beta_dpo/beta_margin_grad_std': 0.28279608488082886, 'epoch': 0.63}
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63%|███████████████████████████████████████████████████████████████████████▊ | 429/681 [27:13<10:25, 2.48s/it]
63%|███████████████████████████████████████████████████████████████████████▉ | 430/681 [27:15<10:38, 2.54s/it]
{'loss': 15.693, 'grad_norm': 50662.0078125, 'learning_rate': 1.8158425248197928e-07, 'beta_dpo/gap_mean': 358.3047180175781, 'beta_dpo/gap_std': 334.221923828125, 'beta_dpo/beta_used_raw': 0.10372543334960938, 'beta_dpo/beta_used': 1.2469240427017212, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4730615615844727, 'logits/rejected': -2.498109817504883, 'beta_dpo/beta': 1.2469240427017212, 'beta_dpo/loss_margin_mean': 370.95501708984375, 'beta_dpo/beta_margin_mean': 510.65069580078125, 'beta_dpo/beta_margin_std': 836.8815307617188, 'beta_dpo/beta_margin_grad_mean': -0.27254435420036316, 'beta_dpo/beta_margin_grad_std': 0.2825857698917389, 'epoch': 0.63}
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63%|███████████████████████████████████████████████████████████████████████▉ | 430/681 [27:15<10:38, 2.54s/it]
63%|████████████████████████████████████████████████████████████████████████▏ | 431/681 [27:18<10:33, 2.54s/it]
{'loss': 1.1022, 'grad_norm': 24.509140014648438, 'learning_rate': 1.8035081928995788e-07, 'beta_dpo/gap_mean': 365.2705383300781, 'beta_dpo/gap_std': 334.9329833984375, 'beta_dpo/beta_used_raw': -2.4916090965270996, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.456411361694336, 'logits/rejected': -2.4808506965637207, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 395.29296875, 'beta_dpo/beta_margin_mean': 0.3952929973602295, 'beta_dpo/beta_margin_std': 0.3199489414691925, 'beta_dpo/beta_margin_grad_mean': -0.4051775336265564, 'beta_dpo/beta_margin_grad_std': 0.07288450002670288, 'epoch': 0.63}
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63%|████████████████████████████████████████████████████████████████████████▏ | 431/681 [27:18<10:33, 2.54s/it]
63%|████████████████████████████████████████████████████████████████████████▎ | 432/681 [27:20<10:35, 2.55s/it]
{'loss': 1.1166, 'grad_norm': 25.281761169433594, 'learning_rate': 1.791192214186223e-07, 'beta_dpo/gap_mean': 362.98553466796875, 'beta_dpo/gap_std': 325.4151611328125, 'beta_dpo/beta_used_raw': -3.3621997833251953, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.482973098754883, 'logits/rejected': -2.493764877319336, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 367.0432434082031, 'beta_dpo/beta_margin_mean': 0.36704325675964355, 'beta_dpo/beta_margin_std': 0.28722265362739563, 'beta_dpo/beta_margin_grad_mean': -0.41120636463165283, 'beta_dpo/beta_margin_grad_std': 0.066596120595932, 'epoch': 0.63}
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63%|████████████████████████████████████████████████████████████████████████▎ | 432/681 [27:20<10:35, 2.55s/it]
64%|████████████████████████████████████████████████████████████████████████▍ | 433/681 [27:23<10:21, 2.50s/it]
{'loss': 13.9108, 'grad_norm': 59117.21484375, 'learning_rate': 1.7788949132172193e-07, 'beta_dpo/gap_mean': 363.06561279296875, 'beta_dpo/gap_std': 322.05609130859375, 'beta_dpo/beta_used_raw': 0.5382475852966309, 'beta_dpo/beta_used': 2.1224658489227295, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4168553352355957, 'logits/rejected': -2.4499008655548096, 'beta_dpo/beta': 2.1224658489227295, 'beta_dpo/loss_margin_mean': 364.42138671875, 'beta_dpo/beta_margin_mean': 841.04052734375, 'beta_dpo/beta_margin_std': 1226.0413818359375, 'beta_dpo/beta_margin_grad_mean': -0.2876777946949005, 'beta_dpo/beta_margin_grad_std': 0.292548805475235, 'epoch': 0.64}
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64%|████████████████████████████████████████████████████████████████████████▍ | 433/681 [27:23<10:21, 2.50s/it]
64%|████████████████████████████████████████████████████████████████████████▋ | 434/681 [27:25<10:12, 2.48s/it]
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64%|████████████████████████████████████████████████████████████████████████▋ | 434/681 [27:25<10:12, 2.48s/it]
64%|████████████████████████████████████████████████████████████████████████▊ | 435/681 [27:27<09:52, 2.41s/it]
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64%|████████████████████████████████████████████████████████████████████████▊ | 435/681 [27:27<09:52, 2.41s/it]
64%|████████████████████████████████████████████████████████████████████████▉ | 436/681 [27:30<10:02, 2.46s/it]
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64%|████████████████████████████████████████████████████████████████████████▉ | 436/681 [27:30<10:02, 2.46s/it]
64%|█████████████████████████████████████████████████████████████████████████▏ | 437/681 [27:32<09:58, 2.45s/it]
{'loss': 1.8349, 'grad_norm': 7131.47998046875, 'learning_rate': 1.7298989601292036e-07, 'beta_dpo/gap_mean': 351.33404541015625, 'beta_dpo/gap_std': 304.4229431152344, 'beta_dpo/beta_used_raw': 0.32361477613449097, 'beta_dpo/beta_used': 0.42722299695014954, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4637017250061035, 'logits/rejected': -2.454047203063965, 'beta_dpo/beta': 0.42722299695014954, 'beta_dpo/loss_margin_mean': 308.41162109375, 'beta_dpo/beta_margin_mean': 150.46022033691406, 'beta_dpo/beta_margin_std': 217.8881378173828, 'beta_dpo/beta_margin_grad_mean': -0.26437872648239136, 'beta_dpo/beta_margin_grad_std': 0.2714844048023224, 'epoch': 0.64}
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64%|█████████████████████████████████████████████████████████████████████████▏ | 437/681 [27:32<09:58, 2.45s/it]
64%|█████████████████████████████████████████████████████████████████████████▎ | 438/681 [27:35<09:45, 2.41s/it]
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64%|█████████████████████████████████████████████████████████████████████████▎ | 438/681 [27:35<09:45, 2.41s/it]
64%|█████████████████████████████████████████████████████████████████████████▍ | 439/681 [27:37<09:48, 2.43s/it]
{'loss': 1.1119, 'grad_norm': 27.892019271850586, 'learning_rate': 1.7055214510452458e-07, 'beta_dpo/gap_mean': 343.51715087890625, 'beta_dpo/gap_std': 292.8160400390625, 'beta_dpo/beta_used_raw': -2.115419864654541, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.435819149017334, 'logits/rejected': -2.4549179077148438, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 298.7552490234375, 'beta_dpo/beta_margin_mean': 0.2987552881240845, 'beta_dpo/beta_margin_std': 0.26535582542419434, 'beta_dpo/beta_margin_grad_mean': -0.42735329270362854, 'beta_dpo/beta_margin_grad_std': 0.0616798959672451, 'epoch': 0.64}
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64%|█████████████████████████████████████████████████████████████████████████▍ | 439/681 [27:37<09:48, 2.43s/it]
65%|█████████████████████████████████████████████████████████████████████████▋ | 440/681 [27:40<10:06, 2.52s/it]
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65%|█████████████████████████████████████████████████████████████████████████▋ | 440/681 [27:40<10:06, 2.52s/it]
65%|█████████████████████████████████████████████████████████████████████████▊ | 441/681 [27:42<10:10, 2.54s/it]
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65%|█████████████████████████████████████████████████████████████████████████▊ | 441/681 [27:43<10:10, 2.54s/it]
65%|█████████████████████████████████████████████████████████████████████████▉ | 442/681 [27:45<10:11, 2.56s/it]
{'loss': 6.0554, 'grad_norm': 25934.462890625, 'learning_rate': 1.669113001300851e-07, 'beta_dpo/gap_mean': 348.65679931640625, 'beta_dpo/gap_std': 282.76776123046875, 'beta_dpo/beta_used_raw': 2.011472702026367, 'beta_dpo/beta_used': 2.011472702026367, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.450514316558838, 'logits/rejected': -2.4609298706054688, 'beta_dpo/beta': 2.011472702026367, 'beta_dpo/loss_margin_mean': 388.67510986328125, 'beta_dpo/beta_margin_mean': 782.205322265625, 'beta_dpo/beta_margin_std': 524.3056030273438, 'beta_dpo/beta_margin_grad_mean': -0.06538188457489014, 'beta_dpo/beta_margin_grad_std': 0.24239790439605713, 'epoch': 0.65}
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65%|█████████████████████████████████████████████████████████████████████████▉ | 442/681 [27:45<10:11, 2.56s/it]
65%|██████████████████████████████████████████████████████████████████████████▏ | 443/681 [27:47<09:58, 2.51s/it]
{'loss': 1.1169, 'grad_norm': 22.906946182250977, 'learning_rate': 1.6570202148426815e-07, 'beta_dpo/gap_mean': 344.43426513671875, 'beta_dpo/gap_std': 289.60614013671875, 'beta_dpo/beta_used_raw': -2.1781232357025146, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.47257661819458, 'logits/rejected': -2.4808216094970703, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 293.86553955078125, 'beta_dpo/beta_margin_mean': 0.2938655614852905, 'beta_dpo/beta_margin_std': 0.33218199014663696, 'beta_dpo/beta_margin_grad_mean': -0.42931288480758667, 'beta_dpo/beta_margin_grad_std': 0.07746709883213043, 'epoch': 0.65}
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65%|██████████████████████████████████████████████████████████████████████████▏ | 443/681 [27:48<09:58, 2.51s/it]
65%|██████████████████████████████████████████████████████████████████████████▎ | 444/681 [27:50<09:53, 2.50s/it]
{'loss': 0.5403, 'grad_norm': 21.445575714111328, 'learning_rate': 1.6449496416858282e-07, 'beta_dpo/gap_mean': 353.92706298828125, 'beta_dpo/gap_std': 291.21728515625, 'beta_dpo/beta_used_raw': 0.622127115726471, 'beta_dpo/beta_used': 0.8307179808616638, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4195876121520996, 'logits/rejected': -2.456974983215332, 'beta_dpo/beta': 0.8307179808616638, 'beta_dpo/loss_margin_mean': 429.93499755859375, 'beta_dpo/beta_margin_mean': 372.78521728515625, 'beta_dpo/beta_margin_std': 491.99072265625, 'beta_dpo/beta_margin_grad_mean': -0.20021703839302063, 'beta_dpo/beta_margin_grad_std': 0.20530231297016144, 'epoch': 0.65}
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65%|██████████████████████████████████████████████████████████████████████████▎ | 444/681 [27:50<09:53, 2.50s/it]
65%|██████████████████████████████████████████████████████████████████████████▍ | 445/681 [27:52<09:51, 2.51s/it]
{'loss': 23.2322, 'grad_norm': 12001.302734375, 'learning_rate': 1.6329015999011182e-07, 'beta_dpo/gap_mean': 353.89892578125, 'beta_dpo/gap_std': 299.44140625, 'beta_dpo/beta_used_raw': -0.10653191804885864, 'beta_dpo/beta_used': 0.6511656641960144, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.465177059173584, 'logits/rejected': -2.4750633239746094, 'beta_dpo/beta': 0.6511656641960144, 'beta_dpo/loss_margin_mean': 332.807861328125, 'beta_dpo/beta_margin_mean': 210.04498291015625, 'beta_dpo/beta_margin_std': 451.1952819824219, 'beta_dpo/beta_margin_grad_mean': -0.292864054441452, 'beta_dpo/beta_margin_grad_std': 0.29051047563552856, 'epoch': 0.65}
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65%|██████████████████████████████████████████████████████████████████████████▍ | 445/681 [27:53<09:51, 2.51s/it]
65%|██████████████████████████████████████████████████████████████████████████▋ | 446/681 [27:55<09:49, 2.51s/it]
{'loss': 0.5524, 'grad_norm': 36.90497970581055, 'learning_rate': 1.6208764069656578e-07, 'beta_dpo/gap_mean': 359.41986083984375, 'beta_dpo/gap_std': 302.03582763671875, 'beta_dpo/beta_used_raw': -0.5909568667411804, 'beta_dpo/beta_used': 0.5344843864440918, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.422713041305542, 'logits/rejected': -2.4601097106933594, 'beta_dpo/beta': 0.5344843864440918, 'beta_dpo/loss_margin_mean': 429.4493713378906, 'beta_dpo/beta_margin_mean': 277.230224609375, 'beta_dpo/beta_margin_std': 368.5066223144531, 'beta_dpo/beta_margin_grad_mean': -0.2088708132505417, 'beta_dpo/beta_margin_grad_std': 0.21212056279182434, 'epoch': 0.65}
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65%|██████████████████████████████████████████████████████████████████████████▋ | 446/681 [27:55<09:49, 2.51s/it]
66%|██████████████████████████████████████████████████████████████████████████▊ | 447/681 [27:57<09:37, 2.47s/it]
{'loss': 1.1173, 'grad_norm': 23.881223678588867, 'learning_rate': 1.608874379754465e-07, 'beta_dpo/gap_mean': 369.88690185546875, 'beta_dpo/gap_std': 312.835205078125, 'beta_dpo/beta_used_raw': -3.839432716369629, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.469653606414795, 'logits/rejected': -2.506166458129883, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 371.16912841796875, 'beta_dpo/beta_margin_mean': 0.3711691200733185, 'beta_dpo/beta_margin_std': 0.34903499484062195, 'beta_dpo/beta_margin_grad_mean': -0.4114223122596741, 'beta_dpo/beta_margin_grad_std': 0.07890864461660385, 'epoch': 0.66}
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66%|██████████████████████████████████████████████████████████████████████████▊ | 447/681 [27:57<09:37, 2.47s/it]
66%|██████████████████████████████████████████████████████████████████████████▉ | 448/681 [28:00<09:43, 2.50s/it]
{'loss': 0.5812, 'grad_norm': 19.88318634033203, 'learning_rate': 1.5968958345321177e-07, 'beta_dpo/gap_mean': 369.296142578125, 'beta_dpo/gap_std': 308.22808837890625, 'beta_dpo/beta_used_raw': -2.4666709899902344, 'beta_dpo/beta_used': 0.9949462413787842, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.43017578125, 'logits/rejected': -2.461536407470703, 'beta_dpo/beta': 0.9949462413787842, 'beta_dpo/loss_margin_mean': 389.3961181640625, 'beta_dpo/beta_margin_mean': 429.1389465332031, 'beta_dpo/beta_margin_std': 562.9327392578125, 'beta_dpo/beta_margin_grad_mean': -0.22382524609565735, 'beta_dpo/beta_margin_grad_std': 0.23410984873771667, 'epoch': 0.66}
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66%|██████████████████████████████████████████████████████████████████████████▉ | 448/681 [28:00<09:43, 2.50s/it]
66%|███████████████████████████████████████████████████████████████████████████▏ | 449/681 [28:02<09:26, 2.44s/it]
{'loss': 54.4296, 'grad_norm': 50823.05078125, 'learning_rate': 1.584941086944423e-07, 'beta_dpo/gap_mean': 373.68212890625, 'beta_dpo/gap_std': 307.01202392578125, 'beta_dpo/beta_used_raw': 1.4625353813171387, 'beta_dpo/beta_used': 2.169326066970825, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4476749897003174, 'logits/rejected': -2.4613916873931885, 'beta_dpo/beta': 2.169326066970825, 'beta_dpo/loss_margin_mean': 371.7033996582031, 'beta_dpo/beta_margin_mean': 866.29150390625, 'beta_dpo/beta_margin_std': 1363.672119140625, 'beta_dpo/beta_margin_grad_mean': -0.2861442565917969, 'beta_dpo/beta_margin_grad_std': 0.2906011939048767, 'epoch': 0.66}
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66%|███████████████████████████████████████████████████████████████████████████▏ | 449/681 [28:02<09:26, 2.44s/it]
66%|███████████████████████████████████████████████████████████████████████████▎ | 450/681 [28:05<09:22, 2.44s/it]
{'loss': 0.5291, 'grad_norm': 20.199665069580078, 'learning_rate': 1.573010452010098e-07, 'beta_dpo/gap_mean': 380.8287353515625, 'beta_dpo/gap_std': 297.178955078125, 'beta_dpo/beta_used_raw': 1.1894080638885498, 'beta_dpo/beta_used': 1.47364342212677, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.45393705368042, 'logits/rejected': -2.5022172927856445, 'beta_dpo/beta': 1.47364342212677, 'beta_dpo/loss_margin_mean': 431.9281311035156, 'beta_dpo/beta_margin_mean': 637.6218872070312, 'beta_dpo/beta_margin_std': 821.07470703125, 'beta_dpo/beta_margin_grad_mean': -0.21337755024433136, 'beta_dpo/beta_margin_grad_std': 0.2242012321949005, 'epoch': 0.66}
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66%|███████████████████████████████████████████████████████████████████████████▎ | 450/681 [28:05<09:22, 2.44s/it]
66%|███████████████████████████████████████████████████████████████████████████▍ | 451/681 [28:07<09:12, 2.40s/it]
{'loss': 14.8356, 'grad_norm': 25548.22265625, 'learning_rate': 1.5611042441124687e-07, 'beta_dpo/gap_mean': 371.70465087890625, 'beta_dpo/gap_std': 297.33319091796875, 'beta_dpo/beta_used_raw': -0.5515909194946289, 'beta_dpo/beta_used': 1.6201918125152588, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4564037322998047, 'logits/rejected': -2.468679428100586, 'beta_dpo/beta': 1.6201918125152588, 'beta_dpo/loss_margin_mean': 312.59564208984375, 'beta_dpo/beta_margin_mean': 560.2830810546875, 'beta_dpo/beta_margin_std': 958.1199340820312, 'beta_dpo/beta_margin_grad_mean': -0.2785087823867798, 'beta_dpo/beta_margin_grad_std': 0.283831387758255, 'epoch': 0.66}
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66%|███████████████████████████████████████████████████████████████████████████▍ | 451/681 [28:07<09:12, 2.40s/it]
66%|███████████████████████████████████████████████████████████████████████████▋ | 452/681 [28:10<09:25, 2.47s/it]
{'loss': 1.0722, 'grad_norm': 38.57242202758789, 'learning_rate': 1.549222776991186e-07, 'beta_dpo/gap_mean': 369.5523376464844, 'beta_dpo/gap_std': 295.28765869140625, 'beta_dpo/beta_used_raw': -0.28033387660980225, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.464397668838501, 'logits/rejected': -2.5154190063476562, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 368.3257141113281, 'beta_dpo/beta_margin_mean': 0.36832571029663086, 'beta_dpo/beta_margin_std': 0.27488240599632263, 'beta_dpo/beta_margin_grad_mean': -0.4107057452201843, 'beta_dpo/beta_margin_grad_std': 0.06496448814868927, 'epoch': 0.66}
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66%|███████████████████████████████████████████████████████████████████████████▋ | 452/681 [28:10<09:25, 2.47s/it]
67%|███████████████████████████████████████████████████████████████████████████▊ | 453/681 [28:12<09:08, 2.41s/it]
{'loss': 9.4541, 'grad_norm': 7813.66796875, 'learning_rate': 1.5373663637339584e-07, 'beta_dpo/gap_mean': 369.88800048828125, 'beta_dpo/gap_std': 293.82562255859375, 'beta_dpo/beta_used_raw': -0.7867467999458313, 'beta_dpo/beta_used': 0.47413191199302673, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4826607704162598, 'logits/rejected': -2.501310348510742, 'beta_dpo/beta': 0.47413191199302673, 'beta_dpo/loss_margin_mean': 364.253173828125, 'beta_dpo/beta_margin_mean': 179.6550750732422, 'beta_dpo/beta_margin_std': 257.9681396484375, 'beta_dpo/beta_margin_grad_mean': -0.23885342478752136, 'beta_dpo/beta_margin_grad_std': 0.25014886260032654, 'epoch': 0.67}
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67%|███████████████████████████████████████████████████████████████████████████▊ | 453/681 [28:12<09:08, 2.41s/it]
67%|████████████████████████████████████████████████████████████████████████████ | 454/681 [28:14<09:10, 2.42s/it]
{'loss': 12.3928, 'grad_norm': 7821.49853515625, 'learning_rate': 1.5255353167683017e-07, 'beta_dpo/gap_mean': 371.50396728515625, 'beta_dpo/gap_std': 297.9644775390625, 'beta_dpo/beta_used_raw': -0.8156985640525818, 'beta_dpo/beta_used': 0.6042494773864746, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.459460735321045, 'logits/rejected': -2.4877805709838867, 'beta_dpo/beta': 0.6042494773864746, 'beta_dpo/loss_margin_mean': 380.0973815917969, 'beta_dpo/beta_margin_mean': 243.75340270996094, 'beta_dpo/beta_margin_std': 361.9959716796875, 'beta_dpo/beta_margin_grad_mean': -0.2383243590593338, 'beta_dpo/beta_margin_grad_std': 0.25166648626327515, 'epoch': 0.67}
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67%|████████████████████████████████████████████████████████████████████████████ | 454/681 [28:14<09:10, 2.42s/it]
67%|████████████████████████████████████████████████████████████████████████████▏ | 455/681 [28:17<09:20, 2.48s/it]
{'loss': 4.0629, 'grad_norm': 5878.1142578125, 'learning_rate': 1.5137299478533064e-07, 'beta_dpo/gap_mean': 381.37921142578125, 'beta_dpo/gap_std': 305.9591064453125, 'beta_dpo/beta_used_raw': 0.07860961556434631, 'beta_dpo/beta_used': 0.558521568775177, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.476715087890625, 'logits/rejected': -2.544955253601074, 'beta_dpo/beta': 0.558521568775177, 'beta_dpo/loss_margin_mean': 450.9393615722656, 'beta_dpo/beta_margin_mean': 263.99224853515625, 'beta_dpo/beta_margin_std': 370.77044677734375, 'beta_dpo/beta_margin_grad_mean': -0.229967400431633, 'beta_dpo/beta_margin_grad_std': 0.24533946812152863, 'epoch': 0.67}
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67%|████████████████████████████████████████████████████████████████████████████▏ | 455/681 [28:17<09:20, 2.48s/it]
67%|████████████████████████████████████████████████████████████████████████████▎ | 456/681 [28:19<09:08, 2.44s/it]
{'loss': 1.0786, 'grad_norm': 28.53789520263672, 'learning_rate': 1.5019505680714232e-07, 'beta_dpo/gap_mean': 387.3846435546875, 'beta_dpo/gap_std': 308.45947265625, 'beta_dpo/beta_used_raw': -1.8649553060531616, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4815030097961426, 'logits/rejected': -2.5309150218963623, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 407.9440002441406, 'beta_dpo/beta_margin_mean': 0.4079440236091614, 'beta_dpo/beta_margin_std': 0.31001952290534973, 'beta_dpo/beta_margin_grad_mean': -0.401821494102478, 'beta_dpo/beta_margin_grad_std': 0.07234375923871994, 'epoch': 0.67}
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67%|████████████████████████████████████████████████████████████████████████████▎ | 456/681 [28:19<09:08, 2.44s/it]
67%|████████████████████████████████████████████████████████████████████████████▌ | 457/681 [28:22<09:13, 2.47s/it]
{'loss': 0.5419, 'grad_norm': 23.370983123779297, 'learning_rate': 1.4901974878202627e-07, 'beta_dpo/gap_mean': 384.96356201171875, 'beta_dpo/gap_std': 305.0810546875, 'beta_dpo/beta_used_raw': -0.9987051486968994, 'beta_dpo/beta_used': 0.10005475580692291, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.480140209197998, 'logits/rejected': -2.486316680908203, 'beta_dpo/beta': 0.10005475580692291, 'beta_dpo/loss_margin_mean': 348.1621398925781, 'beta_dpo/beta_margin_mean': 35.68285369873047, 'beta_dpo/beta_margin_std': 50.96905517578125, 'beta_dpo/beta_margin_grad_mean': -0.25547903776168823, 'beta_dpo/beta_margin_grad_std': 0.26753029227256775, 'epoch': 0.67}
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67%|████████████████████████████████████████████████████████████████████████████▌ | 457/681 [28:22<09:13, 2.47s/it]
67%|████████████████████████████████████████████████████████████████████████████▋ | 458/681 [28:24<09:06, 2.45s/it]
{'loss': 1.0673, 'grad_norm': 28.026363372802734, 'learning_rate': 1.4784710168044212e-07, 'beta_dpo/gap_mean': 384.5351257324219, 'beta_dpo/gap_std': 302.91986083984375, 'beta_dpo/beta_used_raw': -1.0926374197006226, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.47013783454895, 'logits/rejected': -2.502309799194336, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 397.30108642578125, 'beta_dpo/beta_margin_mean': 0.3973011076450348, 'beta_dpo/beta_margin_std': 0.2737996578216553, 'beta_dpo/beta_margin_grad_mean': -0.4038095474243164, 'beta_dpo/beta_margin_grad_std': 0.06412005424499512, 'epoch': 0.67}
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67%|████████████████████████████████████████████████████████████████████████████▋ | 458/681 [28:24<09:06, 2.45s/it]
67%|████████████████████████████████████████████████████████████████████████████▊ | 459/681 [28:27<09:03, 2.45s/it]
{'loss': 1.0655, 'grad_norm': 31.750755310058594, 'learning_rate': 1.466771464027316e-07, 'beta_dpo/gap_mean': 380.58148193359375, 'beta_dpo/gap_std': 296.5938720703125, 'beta_dpo/beta_used_raw': -0.917838454246521, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.46304988861084, 'logits/rejected': -2.501253128051758, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 341.9566955566406, 'beta_dpo/beta_margin_mean': 0.3419567346572876, 'beta_dpo/beta_margin_std': 0.26270684599876404, 'beta_dpo/beta_margin_grad_mean': -0.4167326092720032, 'beta_dpo/beta_margin_grad_std': 0.06269286572933197, 'epoch': 0.67}
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67%|████████████████████████████████████████████████████████████████████████████▊ | 459/681 [28:27<09:03, 2.45s/it]
68%|█████████████████████████████████████████████████████████████████████████████ | 460/681 [28:29<09:01, 2.45s/it]
{'loss': 4.6404, 'grad_norm': 17868.126953125, 'learning_rate': 1.4550991377830423e-07, 'beta_dpo/gap_mean': 378.25775146484375, 'beta_dpo/gap_std': 291.2427978515625, 'beta_dpo/beta_used_raw': -0.6699074506759644, 'beta_dpo/beta_used': 1.6334787607192993, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5045523643493652, 'logits/rejected': -2.5729987621307373, 'beta_dpo/beta': 1.6334787607192993, 'beta_dpo/loss_margin_mean': 398.70556640625, 'beta_dpo/beta_margin_mean': 714.5479736328125, 'beta_dpo/beta_margin_std': 986.8130493164062, 'beta_dpo/beta_margin_grad_mean': -0.22203302383422852, 'beta_dpo/beta_margin_grad_std': 0.23113414645195007, 'epoch': 0.68}
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68%|█████████████████████████████████████████████████████████████████████████████ | 460/681 [28:29<09:01, 2.45s/it]
68%|█████████████████████████████████████████████████████████████████████████████▏ | 461/681 [28:32<08:55, 2.43s/it]
{'loss': 0.7427, 'grad_norm': 32094.228515625, 'learning_rate': 1.4434543456482518e-07, 'beta_dpo/gap_mean': 376.22406005859375, 'beta_dpo/gap_std': 286.36328125, 'beta_dpo/beta_used_raw': 0.08712393045425415, 'beta_dpo/beta_used': 0.8932273983955383, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.499390125274658, 'logits/rejected': -2.5347375869750977, 'beta_dpo/beta': 0.8932273983955383, 'beta_dpo/loss_margin_mean': 346.59515380859375, 'beta_dpo/beta_margin_mean': 307.47015380859375, 'beta_dpo/beta_margin_std': 430.9241027832031, 'beta_dpo/beta_margin_grad_mean': -0.2543882429599762, 'beta_dpo/beta_margin_grad_std': 0.2651003301143646, 'epoch': 0.68}
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68%|█████████████████████████████████████████████████████████████████████████████▏ | 461/681 [28:32<08:55, 2.43s/it]
68%|█████████████████████████████████████████████████████████████████████████████▎ | 462/681 [28:34<08:47, 2.41s/it]
{'loss': 1.1155, 'grad_norm': 23.766319274902344, 'learning_rate': 1.4318373944740484e-07, 'beta_dpo/gap_mean': 369.9292907714844, 'beta_dpo/gap_std': 287.8791809082031, 'beta_dpo/beta_used_raw': -3.4746923446655273, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5215415954589844, 'logits/rejected': -2.5495944023132324, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 338.7749328613281, 'beta_dpo/beta_margin_mean': 0.3387749493122101, 'beta_dpo/beta_margin_std': 0.30487060546875, 'beta_dpo/beta_margin_grad_mean': -0.418192595243454, 'beta_dpo/beta_margin_grad_std': 0.07179278135299683, 'epoch': 0.68}
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68%|█████████████████████████████████████████████████████████████████████████████▎ | 462/681 [28:34<08:47, 2.41s/it]
68%|█████████████████████████████████████████████████████████████████████████████▌ | 463/681 [28:36<08:45, 2.41s/it]
{'loss': 0.5632, 'grad_norm': 18.568052291870117, 'learning_rate': 1.4202485903778976e-07, 'beta_dpo/gap_mean': 376.6002197265625, 'beta_dpo/gap_std': 303.69659423828125, 'beta_dpo/beta_used_raw': -1.7789533138275146, 'beta_dpo/beta_used': 0.6219136714935303, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4930672645568848, 'logits/rejected': -2.5247983932495117, 'beta_dpo/beta': 0.6219136714935303, 'beta_dpo/loss_margin_mean': 434.07806396484375, 'beta_dpo/beta_margin_mean': 281.9193420410156, 'beta_dpo/beta_margin_std': 356.6446228027344, 'beta_dpo/beta_margin_grad_mean': -0.20181849598884583, 'beta_dpo/beta_margin_grad_std': 0.2130599319934845, 'epoch': 0.68}
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68%|█████████████████████████████████████████████████████████████████████████████▌ | 463/681 [28:36<08:45, 2.41s/it]
68%|█████████████████████████████████████████████████████████████████████████████▋ | 464/681 [28:39<08:47, 2.43s/it]
{'loss': 9.9301, 'grad_norm': 58260.62890625, 'learning_rate': 1.4086882387355658e-07, 'beta_dpo/gap_mean': 396.98193359375, 'beta_dpo/gap_std': 305.0847473144531, 'beta_dpo/beta_used_raw': 5.593118667602539, 'beta_dpo/beta_used': 5.593118667602539, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4916696548461914, 'logits/rejected': -2.550224781036377, 'beta_dpo/beta': 5.593118667602539, 'beta_dpo/loss_margin_mean': 491.942138671875, 'beta_dpo/beta_margin_mean': 2755.906005859375, 'beta_dpo/beta_margin_std': 1905.5625, 'beta_dpo/beta_margin_grad_mean': -0.078125, 'beta_dpo/beta_margin_grad_std': 0.2683681845664978, 'epoch': 0.68}
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68%|█████████████████████████████████████████████████████████████████████████████▋ | 464/681 [28:39<08:47, 2.43s/it]
68%|█████████████████████████████████████████████████████████████████████████████▊ | 465/681 [28:41<08:50, 2.45s/it]
{'loss': 0.7493, 'grad_norm': 30087.87109375, 'learning_rate': 1.3971566441730714e-07, 'beta_dpo/gap_mean': 404.0155029296875, 'beta_dpo/gap_std': 305.983154296875, 'beta_dpo/beta_used_raw': 1.2743040323257446, 'beta_dpo/beta_used': 1.9029580354690552, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.516110897064209, 'logits/rejected': -2.569148540496826, 'beta_dpo/beta': 1.9029580354690552, 'beta_dpo/loss_margin_mean': 430.5644226074219, 'beta_dpo/beta_margin_mean': 899.8712768554688, 'beta_dpo/beta_margin_std': 1295.013916015625, 'beta_dpo/beta_margin_grad_mean': -0.24977104365825653, 'beta_dpo/beta_margin_grad_std': 0.2622261047363281, 'epoch': 0.68}
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68%|█████████████████████████████████████████████████████████████████████████████▊ | 465/681 [28:41<08:50, 2.45s/it]
68%|██████████████████████████████████████████████████████████████████████████████ | 466/681 [28:44<08:53, 2.48s/it]
{'loss': 1.0607, 'grad_norm': 22.92670249938965, 'learning_rate': 1.3856541105586545e-07, 'beta_dpo/gap_mean': 405.3373107910156, 'beta_dpo/gap_std': 308.2467041015625, 'beta_dpo/beta_used_raw': -2.1695146560668945, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4996213912963867, 'logits/rejected': -2.5383553504943848, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 403.6110534667969, 'beta_dpo/beta_margin_mean': 0.40361106395721436, 'beta_dpo/beta_margin_std': 0.3109658658504486, 'beta_dpo/beta_margin_grad_mean': -0.402956485748291, 'beta_dpo/beta_margin_grad_std': 0.07183395326137543, 'epoch': 0.68}
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68%|██████████████████████████████████████████████████████████████████████████████ | 466/681 [28:44<08:53, 2.48s/it]
69%|██████████████████████████████████████████████████████████████████████████████▏ | 467/681 [28:46<08:52, 2.49s/it]
{'loss': 2.1242, 'grad_norm': 106529.4140625, 'learning_rate': 1.3741809409947729e-07, 'beta_dpo/gap_mean': 413.9611511230469, 'beta_dpo/gap_std': 339.21044921875, 'beta_dpo/beta_used_raw': 2.634734630584717, 'beta_dpo/beta_used': 4.274341583251953, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5394535064697266, 'logits/rejected': -2.5817573070526123, 'beta_dpo/beta': 4.274341583251953, 'beta_dpo/loss_margin_mean': 418.0201110839844, 'beta_dpo/beta_margin_mean': 2275.166259765625, 'beta_dpo/beta_margin_std': 4076.872802734375, 'beta_dpo/beta_margin_grad_mean': -0.27562493085861206, 'beta_dpo/beta_margin_grad_std': 0.2861670255661011, 'epoch': 0.69}
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69%|██████████████████████████████████████████████████████████████████████████████▏ | 467/681 [28:46<08:52, 2.49s/it]
69%|██████████████████████████████████████████████████████████████████████████████▎ | 468/681 [28:49<09:03, 2.55s/it]
{'loss': 27.315, 'grad_norm': 32999.328125, 'learning_rate': 1.362737437810114e-07, 'beta_dpo/gap_mean': 410.94439697265625, 'beta_dpo/gap_std': 351.870361328125, 'beta_dpo/beta_used_raw': 0.6839801669120789, 'beta_dpo/beta_used': 1.4308552742004395, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5492682456970215, 'logits/rejected': -2.587491750717163, 'beta_dpo/beta': 1.4308552742004395, 'beta_dpo/loss_margin_mean': 434.7200012207031, 'beta_dpo/beta_margin_mean': 655.9033203125, 'beta_dpo/beta_margin_std': 1054.0318603515625, 'beta_dpo/beta_margin_grad_mean': -0.2482784539461136, 'beta_dpo/beta_margin_grad_std': 0.2650541663169861, 'epoch': 0.69}
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69%|██████████████████████████████████████████████████████████████████████████████▎ | 468/681 [28:49<09:03, 2.55s/it]
69%|██████████████████████████████████████████████████████████████████████████████▌ | 469/681 [28:51<08:40, 2.45s/it]
{'loss': 0.8058, 'grad_norm': 8297.3203125, 'learning_rate': 1.351323902551631e-07, 'beta_dpo/gap_mean': 419.2552490234375, 'beta_dpo/gap_std': 346.93157958984375, 'beta_dpo/beta_used_raw': 1.8693115711212158, 'beta_dpo/beta_used': 1.8693115711212158, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5490849018096924, 'logits/rejected': -2.5901732444763184, 'beta_dpo/beta': 1.8693115711212158, 'beta_dpo/loss_margin_mean': 452.9244384765625, 'beta_dpo/beta_margin_mean': 848.8661499023438, 'beta_dpo/beta_margin_std': 818.3424072265625, 'beta_dpo/beta_margin_grad_mean': -0.046875, 'beta_dpo/beta_margin_grad_std': 0.21137107908725739, 'epoch': 0.69}
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69%|██████████████████████████████████████████████████████████████████████████████▌ | 469/681 [28:51<08:40, 2.45s/it]
69%|██████████████████████████████████████████████████████████████████████████████▋ | 470/681 [28:53<08:22, 2.38s/it]
{'loss': 1.0437, 'grad_norm': 20.7974853515625, 'learning_rate': 1.339940635976592e-07, 'beta_dpo/gap_mean': 421.21563720703125, 'beta_dpo/gap_std': 342.18878173828125, 'beta_dpo/beta_used_raw': -1.152496337890625, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.4830265045166016, 'logits/rejected': -2.5244758129119873, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 415.5758361816406, 'beta_dpo/beta_margin_mean': 0.4155758321285248, 'beta_dpo/beta_margin_std': 0.30809733271598816, 'beta_dpo/beta_margin_grad_mean': -0.3999681770801544, 'beta_dpo/beta_margin_grad_std': 0.07137025147676468, 'epoch': 0.69}
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69%|██████████████████████████████████████████████████████████████████████████████▋ | 470/681 [28:54<08:22, 2.38s/it]
69%|██████████████████████████████████████████████████████████████████████████████▊ | 471/681 [28:56<08:09, 2.33s/it]
{'loss': 0.5604, 'grad_norm': 19.789304733276367, 'learning_rate': 1.3285879380446563e-07, 'beta_dpo/gap_mean': 421.38037109375, 'beta_dpo/gap_std': 329.10821533203125, 'beta_dpo/beta_used_raw': -1.9127386808395386, 'beta_dpo/beta_used': 1.478458046913147, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.537778377532959, 'logits/rejected': -2.556882858276367, 'beta_dpo/beta': 1.478458046913147, 'beta_dpo/loss_margin_mean': 398.04986572265625, 'beta_dpo/beta_margin_mean': 747.5370483398438, 'beta_dpo/beta_margin_std': 983.1398315429688, 'beta_dpo/beta_margin_grad_mean': -0.23011885583400726, 'beta_dpo/beta_margin_grad_std': 0.23751112818717957, 'epoch': 0.69}
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69%|██████████████████████████████████████████████████████████████████████████████▊ | 471/681 [28:56<08:09, 2.33s/it]
69%|███████████████████████████████████████████████████████████████████████████████ | 472/681 [28:58<08:22, 2.40s/it]
{'loss': 14.0955, 'grad_norm': 11883.9248046875, 'learning_rate': 1.317266107909975e-07, 'beta_dpo/gap_mean': 418.555908203125, 'beta_dpo/gap_std': 343.5157165527344, 'beta_dpo/beta_used_raw': -2.741248846054077, 'beta_dpo/beta_used': 0.560537576675415, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5896711349487305, 'logits/rejected': -2.6116137504577637, 'beta_dpo/beta': 0.560537576675415, 'beta_dpo/loss_margin_mean': 437.1629943847656, 'beta_dpo/beta_margin_mean': 254.7558135986328, 'beta_dpo/beta_margin_std': 468.81280517578125, 'beta_dpo/beta_margin_grad_mean': -0.2782280147075653, 'beta_dpo/beta_margin_grad_std': 0.28962796926498413, 'epoch': 0.69}
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69%|███████████████████████████████████████████████████████████████████████████████ | 472/681 [28:58<08:22, 2.40s/it]
69%|███████████████████████████████████████████████████████████████████████████████▏ | 473/681 [29:01<08:33, 2.47s/it]
{'loss': 1.1064, 'grad_norm': 28.633747100830078, 'learning_rate': 1.3059754439133002e-07, 'beta_dpo/gap_mean': 403.55072021484375, 'beta_dpo/gap_std': 345.77349853515625, 'beta_dpo/beta_used_raw': -4.782205581665039, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.514747381210327, 'logits/rejected': -2.5092692375183105, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 311.9952087402344, 'beta_dpo/beta_margin_mean': 0.3119952082633972, 'beta_dpo/beta_margin_std': 0.3434739410877228, 'beta_dpo/beta_margin_grad_mean': -0.42513933777809143, 'beta_dpo/beta_margin_grad_std': 0.07835263758897781, 'epoch': 0.69}
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69%|███████████████████████████████████████████████████████████████████████████████▏ | 473/681 [29:01<08:33, 2.47s/it]
70%|███████████████████████████████████████████████████████████████████████████████▎ | 474/681 [29:03<08:37, 2.50s/it]
{'loss': 0.13, 'grad_norm': 188.52386474609375, 'learning_rate': 1.2947162435741277e-07, 'beta_dpo/gap_mean': 397.82635498046875, 'beta_dpo/gap_std': 337.72735595703125, 'beta_dpo/beta_used_raw': 0.020935971289873123, 'beta_dpo/beta_used': 0.020935971289873123, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.512279987335205, 'logits/rejected': -2.5492238998413086, 'beta_dpo/beta': 0.020935971289873123, 'beta_dpo/loss_margin_mean': 396.6646728515625, 'beta_dpo/beta_margin_mean': 8.29855728149414, 'beta_dpo/beta_margin_std': 6.226876258850098, 'beta_dpo/beta_margin_grad_mean': -0.08262869715690613, 'beta_dpo/beta_margin_grad_std': 0.23250208795070648, 'epoch': 0.7}
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70%|███████████████████████████████████████████████████████████████████████████████▎ | 474/681 [29:03<08:37, 2.50s/it]
70%|███████████████████████████████████████████████████████████████████████████████▌ | 475/681 [29:06<08:30, 2.48s/it]
{'loss': 1.0798, 'grad_norm': 24.54264259338379, 'learning_rate': 1.2834888035828596e-07, 'beta_dpo/gap_mean': 390.2703857421875, 'beta_dpo/gap_std': 338.8818359375, 'beta_dpo/beta_used_raw': -2.2628698348999023, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.537545680999756, 'logits/rejected': -2.5808987617492676, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 354.69390869140625, 'beta_dpo/beta_margin_mean': 0.3546939194202423, 'beta_dpo/beta_margin_std': 0.35067981481552124, 'beta_dpo/beta_margin_grad_mean': -0.4154300093650818, 'beta_dpo/beta_margin_grad_std': 0.0788368210196495, 'epoch': 0.7}
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70%|███████████████████████████████████████████████████████████████████████████████▌ | 475/681 [29:06<08:30, 2.48s/it]
70%|███████████████████████████████████████████████████████████████████████████████▋ | 476/681 [29:08<08:06, 2.38s/it]
{'loss': 1.0909, 'grad_norm': 33.014305114746094, 'learning_rate': 1.2722934197929802e-07, 'beta_dpo/gap_mean': 388.89324951171875, 'beta_dpo/gap_std': 336.2122497558594, 'beta_dpo/beta_used_raw': -2.833922863006592, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5620553493499756, 'logits/rejected': -2.5980238914489746, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 372.3511657714844, 'beta_dpo/beta_margin_mean': 0.37235116958618164, 'beta_dpo/beta_margin_std': 0.3026776611804962, 'beta_dpo/beta_margin_grad_mean': -0.41025692224502563, 'beta_dpo/beta_margin_grad_std': 0.0702584832906723, 'epoch': 0.7}
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70%|███████████████████████████████████████████████████████████████████████████████▋ | 476/681 [29:08<08:06, 2.38s/it]
70%|███████████████████████████████████████████████████████████████████████████████▊ | 477/681 [29:11<08:13, 2.42s/it]
{'loss': 4.2004, 'grad_norm': 9603.7666015625, 'learning_rate': 1.2611303872132631e-07, 'beta_dpo/gap_mean': 384.2132568359375, 'beta_dpo/gap_std': 325.43865966796875, 'beta_dpo/beta_used_raw': 0.43174052238464355, 'beta_dpo/beta_used': 1.2425551414489746, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.513644218444824, 'logits/rejected': -2.5187504291534424, 'beta_dpo/beta': 1.2425551414489746, 'beta_dpo/loss_margin_mean': 377.49932861328125, 'beta_dpo/beta_margin_mean': 494.6365661621094, 'beta_dpo/beta_margin_std': 732.710693359375, 'beta_dpo/beta_margin_grad_mean': -0.28471827507019043, 'beta_dpo/beta_margin_grad_std': 0.29025498032569885, 'epoch': 0.7}
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70%|███████████████████████████████████████████████████████████████████████████████▊ | 477/681 [29:11<08:13, 2.42s/it]
70%|████████████████████████████████████████████████████████████████████████████████ | 478/681 [29:13<07:58, 2.35s/it]
{'loss': 1.094, 'grad_norm': 30.411699295043945, 'learning_rate': 1.2500000000000005e-07, 'beta_dpo/gap_mean': 381.9994812011719, 'beta_dpo/gap_std': 319.3729248046875, 'beta_dpo/beta_used_raw': -2.8485658168792725, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.530264139175415, 'logits/rejected': -2.573782205581665, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 373.3612060546875, 'beta_dpo/beta_margin_mean': 0.3733612298965454, 'beta_dpo/beta_margin_std': 0.28482842445373535, 'beta_dpo/beta_margin_grad_mean': -0.4097580313682556, 'beta_dpo/beta_margin_grad_std': 0.06587263941764832, 'epoch': 0.7}
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70%|████████████████████████████████████████████████████████████████████████████████ | 478/681 [29:13<07:58, 2.35s/it]
70%|████████████████████████████████████████████████████████████████████████████████▏ | 479/681 [29:15<08:02, 2.39s/it]
{'loss': 0.5685, 'grad_norm': 22.1717472076416, 'learning_rate': 1.2389025514492456e-07, 'beta_dpo/gap_mean': 387.78704833984375, 'beta_dpo/gap_std': 326.0636291503906, 'beta_dpo/beta_used_raw': -1.9218789339065552, 'beta_dpo/beta_used': 0.9422978758811951, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5045852661132812, 'logits/rejected': -2.568833112716675, 'beta_dpo/beta': 0.9422978758811951, 'beta_dpo/loss_margin_mean': 436.54107666015625, 'beta_dpo/beta_margin_mean': 474.04681396484375, 'beta_dpo/beta_margin_std': 649.1632080078125, 'beta_dpo/beta_margin_grad_mean': -0.2220228761434555, 'beta_dpo/beta_margin_grad_std': 0.23495404422283173, 'epoch': 0.7}
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70%|████████████████████████████████████████████████████████████████████████████████▏ | 479/681 [29:15<08:02, 2.39s/it]
70%|████████████████████████████████████████████████████████████████████████████████▎ | 480/681 [29:18<08:04, 2.41s/it]
{'loss': 41.8083, 'grad_norm': 34886.80859375, 'learning_rate': 1.227838333989088e-07, 'beta_dpo/gap_mean': 385.14337158203125, 'beta_dpo/gap_std': 321.2519836425781, 'beta_dpo/beta_used_raw': -0.5218298435211182, 'beta_dpo/beta_used': 1.2717182636260986, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5319626331329346, 'logits/rejected': -2.5537118911743164, 'beta_dpo/beta': 1.2717182636260986, 'beta_dpo/loss_margin_mean': 358.7318420410156, 'beta_dpo/beta_margin_mean': 558.4786376953125, 'beta_dpo/beta_margin_std': 861.1541748046875, 'beta_dpo/beta_margin_grad_mean': -0.2628205120563507, 'beta_dpo/beta_margin_grad_std': 0.26975834369659424, 'epoch': 0.7}
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70%|████████████████████████████████████████████████████████████████████████████████▎ | 480/681 [29:18<08:04, 2.41s/it]
71%|████████████████████████████████████████████████████████████████████████████████▌ | 481/681 [29:20<08:09, 2.45s/it]
{'loss': 1.0755, 'grad_norm': 25.161544799804688, 'learning_rate': 1.2168076391719489e-07, 'beta_dpo/gap_mean': 391.42706298828125, 'beta_dpo/gap_std': 332.341552734375, 'beta_dpo/beta_used_raw': -2.2213141918182373, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5190436840057373, 'logits/rejected': -2.566678285598755, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 408.7076416015625, 'beta_dpo/beta_margin_mean': 0.4087076485157013, 'beta_dpo/beta_margin_std': 0.3610389828681946, 'beta_dpo/beta_margin_grad_mean': -0.40268126130104065, 'beta_dpo/beta_margin_grad_std': 0.08109249919652939, 'epoch': 0.71}
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71%|████████████████████████████████████████████████████████████████████████████████▌ | 481/681 [29:20<08:09, 2.45s/it]
71%|████████████████████████████████████████████████████████████████████████████████▋ | 482/681 [29:23<08:14, 2.48s/it]
{'loss': 1.0925, 'grad_norm': 26.447629928588867, 'learning_rate': 1.2058107576668938e-07, 'beta_dpo/gap_mean': 385.44921875, 'beta_dpo/gap_std': 331.2301025390625, 'beta_dpo/beta_used_raw': -2.8063464164733887, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5346310138702393, 'logits/rejected': -2.5641980171203613, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 343.68328857421875, 'beta_dpo/beta_margin_mean': 0.34368330240249634, 'beta_dpo/beta_margin_std': 0.32845625281333923, 'beta_dpo/beta_margin_grad_mean': -0.4173520803451538, 'beta_dpo/beta_margin_grad_std': 0.07615692913532257, 'epoch': 0.71}
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71%|████████████████████████████████████████████████████████████████████████████████▋ | 482/681 [29:23<08:14, 2.48s/it]
71%|████████████████████████████████████████████████████████████████████████████████▊ | 483/681 [29:25<08:12, 2.49s/it]
{'loss': 1.0621, 'grad_norm': 27.4080810546875, 'learning_rate': 1.194847979251979e-07, 'beta_dpo/gap_mean': 391.0637512207031, 'beta_dpo/gap_std': 335.705322265625, 'beta_dpo/beta_used_raw': -0.8292474746704102, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.523871898651123, 'logits/rejected': -2.5619630813598633, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 426.5040283203125, 'beta_dpo/beta_margin_mean': 0.4265040457248688, 'beta_dpo/beta_margin_std': 0.35432857275009155, 'beta_dpo/beta_margin_grad_mean': -0.39801958203315735, 'beta_dpo/beta_margin_grad_std': 0.08198197931051254, 'epoch': 0.71}
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71%|████████████████████████████████████████████████████████████████████████████████▊ | 483/681 [29:25<08:12, 2.49s/it]
71%|█████████████████████████████████████████████████████████████████████████████████ | 484/681 [29:28<08:08, 2.48s/it]
{'loss': 1.1056, 'grad_norm': 27.6585636138916, 'learning_rate': 1.1839195928066101e-07, 'beta_dpo/gap_mean': 378.6564636230469, 'beta_dpo/gap_std': 334.283935546875, 'beta_dpo/beta_used_raw': -3.1099014282226562, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5312819480895996, 'logits/rejected': -2.561755657196045, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 336.04290771484375, 'beta_dpo/beta_margin_mean': 0.33604294061660767, 'beta_dpo/beta_margin_std': 0.3569084405899048, 'beta_dpo/beta_margin_grad_mean': -0.4196456968784332, 'beta_dpo/beta_margin_grad_std': 0.08170211315155029, 'epoch': 0.71}
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71%|█████████████████████████████████████████████████████████████████████████████████ | 484/681 [29:28<08:08, 2.48s/it]
71%|█████████████████████████████████████████████████████████████████████████████████▏ | 485/681 [29:30<07:43, 2.36s/it]
{'loss': 48.0713, 'grad_norm': 43631.0625, 'learning_rate': 1.1730258863039347e-07, 'beta_dpo/gap_mean': 391.543212890625, 'beta_dpo/gap_std': 351.833740234375, 'beta_dpo/beta_used_raw': 1.6319665908813477, 'beta_dpo/beta_used': 1.6319665908813477, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.533259153366089, 'logits/rejected': -2.598179340362549, 'beta_dpo/beta': 1.6319665908813477, 'beta_dpo/loss_margin_mean': 453.990478515625, 'beta_dpo/beta_margin_mean': 740.8789672851562, 'beta_dpo/beta_margin_std': 888.0823364257812, 'beta_dpo/beta_margin_grad_mean': -0.12443296611309052, 'beta_dpo/beta_margin_grad_std': 0.3292010724544525, 'epoch': 0.71}
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71%|█████████████████████████████████████████████████████████████████████████████████▏ | 485/681 [29:30<07:43, 2.36s/it]
71%|█████████████████████████████████████████████████████████████████████████████████▎ | 486/681 [29:32<07:29, 2.31s/it]
{'loss': 1.0617, 'grad_norm': 32.61040115356445, 'learning_rate': 1.1621671468032493e-07, 'beta_dpo/gap_mean': 397.93218994140625, 'beta_dpo/gap_std': 359.19091796875, 'beta_dpo/beta_used_raw': -0.8486566543579102, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5248947143554688, 'logits/rejected': -2.5619006156921387, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 416.0491027832031, 'beta_dpo/beta_margin_mean': 0.41604912281036377, 'beta_dpo/beta_margin_std': 0.3828808665275574, 'beta_dpo/beta_margin_grad_mean': -0.40132319927215576, 'beta_dpo/beta_margin_grad_std': 0.08668551594018936, 'epoch': 0.71}
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71%|█████████████████████████████████████████████████████████████████████████████████▎ | 486/681 [29:32<07:29, 2.31s/it]
72%|█████████████████████████████████████████████████████████████████████████████████▌ | 487/681 [29:34<07:37, 2.36s/it]
{'loss': 0.0, 'grad_norm': 0.0, 'learning_rate': 1.1513436604424378e-07, 'beta_dpo/gap_mean': 402.7051696777344, 'beta_dpo/gap_std': 350.80084228515625, 'beta_dpo/beta_used_raw': 3.366377353668213, 'beta_dpo/beta_used': 3.366377353668213, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5087289810180664, 'logits/rejected': -2.566622257232666, 'beta_dpo/beta': 3.366377353668213, 'beta_dpo/loss_margin_mean': 424.222900390625, 'beta_dpo/beta_margin_mean': 1427.7965087890625, 'beta_dpo/beta_margin_std': 970.3147583007812, 'beta_dpo/beta_margin_grad_mean': -0.078125, 'beta_dpo/beta_margin_grad_std': 0.2683681845664978, 'epoch': 0.72}
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|
72%|█████████████████████████████████████████████████████████████████████████████████▌ | 487/681 [29:34<07:37, 2.36s/it]
72%|█████████████████████████████████████████████████████████████████████████████████▋ | 488/681 [29:37<07:49, 2.43s/it]
{'loss': 1.1019, 'grad_norm': 28.298213958740234, 'learning_rate': 1.1405557124304335e-07, 'beta_dpo/gap_mean': 395.1749267578125, 'beta_dpo/gap_std': 344.27288818359375, 'beta_dpo/beta_used_raw': -3.6400840282440186, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5287461280822754, 'logits/rejected': -2.5617752075195312, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 359.2289123535156, 'beta_dpo/beta_margin_mean': 0.3592289388179779, 'beta_dpo/beta_margin_std': 0.314900279045105, 'beta_dpo/beta_margin_grad_mean': -0.41341128945350647, 'beta_dpo/beta_margin_grad_std': 0.07426728308200836, 'epoch': 0.72}
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72%|█████████████████████████████████████████████████████████████████████████████████▋ | 488/681 [29:37<07:49, 2.43s/it]
72%|█████████████████████████████████████████████████████████████████████████████████▊ | 489/681 [29:40<08:00, 2.50s/it]
{'loss': 1.1112, 'grad_norm': 24.00615692138672, 'learning_rate': 1.1298035870396985e-07, 'beta_dpo/gap_mean': 391.515625, 'beta_dpo/gap_std': 335.818359375, 'beta_dpo/beta_used_raw': -4.769493579864502, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5616259574890137, 'logits/rejected': -2.594806432723999, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 365.6145935058594, 'beta_dpo/beta_margin_mean': 0.3656145930290222, 'beta_dpo/beta_margin_std': 0.2879979908466339, 'beta_dpo/beta_margin_grad_mean': -0.41154804825782776, 'beta_dpo/beta_margin_grad_std': 0.06765101850032806, 'epoch': 0.72}
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72%|█████████████████████████████████████████████████████████████████████████████████▊ | 489/681 [29:40<08:00, 2.50s/it]
72%|██████████████████████████████████████████████████████████████████████████████████ | 490/681 [29:42<08:05, 2.54s/it]
{'loss': 1.1313, 'grad_norm': 26.91084098815918, 'learning_rate': 1.1190875675987355e-07, 'beta_dpo/gap_mean': 392.92205810546875, 'beta_dpo/gap_std': 358.7939453125, 'beta_dpo/beta_used_raw': -5.209046363830566, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6055257320404053, 'logits/rejected': -2.6725831031799316, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 408.6416015625, 'beta_dpo/beta_margin_mean': 0.40864163637161255, 'beta_dpo/beta_margin_std': 0.48387810587882996, 'beta_dpo/beta_margin_grad_mean': -0.4056692123413086, 'beta_dpo/beta_margin_grad_std': 0.10516832768917084, 'epoch': 0.72}
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72%|██████████████████████████████████████████████████████████████████████████████████ | 490/681 [29:42<08:05, 2.54s/it]
72%|██████████████████████████████████████████████████████████████████████████████████▏ | 491/681 [29:45<07:58, 2.52s/it]
{'loss': 1.0702, 'grad_norm': 27.26293182373047, 'learning_rate': 1.1084079364846241e-07, 'beta_dpo/gap_mean': 385.5333251953125, 'beta_dpo/gap_std': 351.7672119140625, 'beta_dpo/beta_used_raw': -1.0293617248535156, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5373287200927734, 'logits/rejected': -2.5686709880828857, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 338.41400146484375, 'beta_dpo/beta_margin_mean': 0.3384140133857727, 'beta_dpo/beta_margin_std': 0.2998770475387573, 'beta_dpo/beta_margin_grad_mean': -0.41814425587654114, 'beta_dpo/beta_margin_grad_std': 0.07073578983545303, 'epoch': 0.72}
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72%|██████████████████████████████████████████████████████████████████████████████████▏ | 491/681 [29:45<07:58, 2.52s/it]
72%|██████████████████████████████████████████████████████████████████████████████████▎ | 492/681 [29:47<07:43, 2.45s/it]
{'loss': 1.1255, 'grad_norm': 26.98293685913086, 'learning_rate': 1.097764975115576e-07, 'beta_dpo/gap_mean': 376.2781677246094, 'beta_dpo/gap_std': 346.640380859375, 'beta_dpo/beta_used_raw': -4.52386474609375, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5452327728271484, 'logits/rejected': -2.5773203372955322, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 329.93182373046875, 'beta_dpo/beta_margin_mean': 0.3299318253993988, 'beta_dpo/beta_margin_std': 0.31079521775245667, 'beta_dpo/beta_margin_grad_mean': -0.420479416847229, 'beta_dpo/beta_margin_grad_std': 0.072646863758564, 'epoch': 0.72}
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|
|
72%|██████████████████████████████████████████████████████████████████████████████████▎ | 492/681 [29:47<07:43, 2.45s/it]
72%|██████████████████████████████████████████████████████████████████████████████████▌ | 493/681 [29:50<07:54, 2.52s/it]
{'loss': 3.1786, 'grad_norm': 4613.84375, 'learning_rate': 1.0871589639435203e-07, 'beta_dpo/gap_mean': 366.77899169921875, 'beta_dpo/gap_std': 340.6854553222656, 'beta_dpo/beta_used_raw': -0.4551483392715454, 'beta_dpo/beta_used': 0.19389446079730988, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5896708965301514, 'logits/rejected': -2.6086065769195557, 'beta_dpo/beta': 0.19389446079730988, 'beta_dpo/loss_margin_mean': 331.5319519042969, 'beta_dpo/beta_margin_mean': 63.774085998535156, 'beta_dpo/beta_margin_std': 104.5694351196289, 'beta_dpo/beta_margin_grad_mean': -0.30418387055397034, 'beta_dpo/beta_margin_grad_std': 0.3022761046886444, 'epoch': 0.72}
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|||
|
|
72%|██████████████████████████████████████████████████████████████████████████████████▌ | 493/681 [29:50<07:54, 2.52s/it]
73%|██████████████████████████████████████████████████████████████████████████████████▋ | 494/681 [29:52<07:41, 2.47s/it]
{'loss': 0.9905, 'grad_norm': 1680.6007080078125, 'learning_rate': 1.0765901824467166e-07, 'beta_dpo/gap_mean': 373.76806640625, 'beta_dpo/gap_std': 341.1934814453125, 'beta_dpo/beta_used_raw': 3.5493483543395996, 'beta_dpo/beta_used': 3.5493483543395996, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5582916736602783, 'logits/rejected': -2.609689474105835, 'beta_dpo/beta': 3.5493483543395996, 'beta_dpo/loss_margin_mean': 413.81048583984375, 'beta_dpo/beta_margin_mean': 1450.2022705078125, 'beta_dpo/beta_margin_std': 1306.51318359375, 'beta_dpo/beta_margin_grad_mean': -0.09375, 'beta_dpo/beta_margin_grad_std': 0.2914806008338928, 'epoch': 0.73}
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|
73%|██████████████████████████████████████████████████████████████████████████████████▋ | 494/681 [29:52<07:41, 2.47s/it]
73%|██████████████████████████████████████████████████████████████████████████████████▊ | 495/681 [29:55<07:40, 2.48s/it]
{'loss': 0.5429, 'grad_norm': 22.30237579345703, 'learning_rate': 1.0660589091223854e-07, 'beta_dpo/gap_mean': 380.26708984375, 'beta_dpo/gap_std': 335.47235107421875, 'beta_dpo/beta_used_raw': 3.1382861137390137, 'beta_dpo/beta_used': 4.066619873046875, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5691702365875244, 'logits/rejected': -2.6163458824157715, 'beta_dpo/beta': 4.066619873046875, 'beta_dpo/loss_margin_mean': 433.75335693359375, 'beta_dpo/beta_margin_mean': 1956.0379638671875, 'beta_dpo/beta_margin_std': 2361.65234375, 'beta_dpo/beta_margin_grad_mean': -0.21904002130031586, 'beta_dpo/beta_margin_grad_std': 0.23028062283992767, 'epoch': 0.73}
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|||
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73%|██████████████████████████████████████████████████████████████████████████████████▊ | 495/681 [29:55<07:40, 2.48s/it]
73%|███████████████████████████████████████████████████████████████████████████████████ | 496/681 [29:57<07:41, 2.50s/it]
{'loss': 1.0738, 'grad_norm': 27.432092666625977, 'learning_rate': 1.0555654214793722e-07, 'beta_dpo/gap_mean': 383.7269287109375, 'beta_dpo/gap_std': 323.4496765136719, 'beta_dpo/beta_used_raw': -1.4662165641784668, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5857880115509033, 'logits/rejected': -2.6112606525421143, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 374.26885986328125, 'beta_dpo/beta_margin_mean': 0.37426888942718506, 'beta_dpo/beta_margin_std': 0.27219101786613464, 'beta_dpo/beta_margin_grad_mean': -0.409112811088562, 'beta_dpo/beta_margin_grad_std': 0.06478798389434814, 'epoch': 0.73}
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73%|███████████████████████████████████████████████████████████████████████████████████ | 496/681 [29:57<07:41, 2.50s/it]
73%|███████████████████████████████████████████████████████████████████████████████████▏ | 497/681 [30:00<07:32, 2.46s/it]
{'loss': 3.4472, 'grad_norm': 12841.9072265625, 'learning_rate': 1.0451099960308374e-07, 'beta_dpo/gap_mean': 384.20770263671875, 'beta_dpo/gap_std': 314.7350158691406, 'beta_dpo/beta_used_raw': -1.5341229438781738, 'beta_dpo/beta_used': 0.4332939088344574, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5560591220855713, 'logits/rejected': -2.60593318939209, 'beta_dpo/beta': 0.4332939088344574, 'beta_dpo/loss_margin_mean': 381.3740234375, 'beta_dpo/beta_margin_mean': 175.2734375, 'beta_dpo/beta_margin_std': 240.9627685546875, 'beta_dpo/beta_margin_grad_mean': -0.2696186900138855, 'beta_dpo/beta_margin_grad_std': 0.27868661284446716, 'epoch': 0.73}
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73%|███████████████████████████████████████████████████████████████████████████████████▏ | 497/681 [30:00<07:32, 2.46s/it]
73%|███████████████████████████████████████████████████████████████████████████████████▎ | 498/681 [30:02<07:36, 2.49s/it]
{'loss': 1.0755, 'grad_norm': 28.40172004699707, 'learning_rate': 1.0346929082869641e-07, 'beta_dpo/gap_mean': 380.50390625, 'beta_dpo/gap_std': 325.7791442871094, 'beta_dpo/beta_used_raw': -1.132285237312317, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5905566215515137, 'logits/rejected': -2.6150288581848145, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 370.2770690917969, 'beta_dpo/beta_margin_mean': 0.37027707695961, 'beta_dpo/beta_margin_std': 0.39214304089546204, 'beta_dpo/beta_margin_grad_mean': -0.41190412640571594, 'beta_dpo/beta_margin_grad_std': 0.08984668552875519, 'epoch': 0.73}
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73%|███████████████████████████████████████████████████████████████████████████████████▎ | 498/681 [30:02<07:36, 2.49s/it]
73%|███████████████████████████████████████████████████████████████████████████████████▌ | 499/681 [30:05<07:37, 2.51s/it]
{'loss': 25.3095, 'grad_norm': 27508.541015625, 'learning_rate': 1.0243144327477013e-07, 'beta_dpo/gap_mean': 386.89794921875, 'beta_dpo/gap_std': 335.3507080078125, 'beta_dpo/beta_used_raw': -0.2245168685913086, 'beta_dpo/beta_used': 2.1377925872802734, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5723462104797363, 'logits/rejected': -2.636953830718994, 'beta_dpo/beta': 2.1377925872802734, 'beta_dpo/loss_margin_mean': 415.10186767578125, 'beta_dpo/beta_margin_mean': 950.3165283203125, 'beta_dpo/beta_margin_std': 1399.9261474609375, 'beta_dpo/beta_margin_grad_mean': -0.25142624974250793, 'beta_dpo/beta_margin_grad_std': 0.2667090594768524, 'epoch': 0.73}
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73%|███████████████████████████████████████████████████████████████████████████████████▌ | 499/681 [30:05<07:37, 2.51s/it]
73%|███████████████████████████████████████████████████████████████████████████████████▋ | 500/681 [30:07<07:23, 2.45s/it]
{'loss': 6.7444, 'grad_norm': 12742.4658203125, 'learning_rate': 1.0139748428955333e-07, 'beta_dpo/gap_mean': 390.808837890625, 'beta_dpo/gap_std': 344.6997375488281, 'beta_dpo/beta_used_raw': 0.8406103849411011, 'beta_dpo/beta_used': 0.8406103849411011, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5479164123535156, 'logits/rejected': -2.6190683841705322, 'beta_dpo/beta': 0.8406103849411011, 'beta_dpo/loss_margin_mean': 407.3626403808594, 'beta_dpo/beta_margin_mean': 361.0441589355469, 'beta_dpo/beta_margin_std': 578.6198120117188, 'beta_dpo/beta_margin_grad_mean': -0.21563133597373962, 'beta_dpo/beta_margin_grad_std': 0.27382031083106995, 'epoch': 0.73}
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73%|███████████████████████████████████████████████████████████████████████████████████▋ | 500/681 [30:07<07:23, 2.45s/it][INFO|trainer.py:4307] 2026-04-18 06:35:51,595 >>
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***** Running Evaluation *****
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[INFO|trainer.py:4309] 2026-04-18 06:35:51,595 >> Num examples = 2339
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[INFO|trainer.py:4312] 2026-04-18 06:35:51,595 >> Batch size = 8
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41%|███████████████████████████████████████████████▋ | 30/73 [00:14<00:21, 2.00it/s][A
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42%|█████████████████████████████████████████████████▎ | 31/73 [00:15<00:21, 1.95it/s][A
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44%|██████████████████████████████████████████████████▊ | 32/73 [00:16<00:20, 1.97it/s][A
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45%|████████████████████████████████████████████████████▍ | 33/73 [00:16<00:20, 1.96it/s][A
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47%|██████████████████████████████████████████████████████ | 34/73 [00:17<00:19, 2.00it/s][A
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48%|███████████████████████████████████████████████████████▌ | 35/73 [00:17<00:19, 1.94it/s][A
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49%|█████████████████████████████████████████████████████████▏ | 36/73 [00:18<00:18, 1.95it/s][A
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51%|██████████████████████████████████████████████████████████▊ | 37/73 [00:18<00:18, 1.91it/s][A
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52%|████████████████████████████████████████████████████████████▍ | 38/73 [00:19<00:17, 1.97it/s][A
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53%|█████████████████████████████████████████████████████████████▉ | 39/73 [00:19<00:17, 1.94it/s][A
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55%|███████████████████████████████████████████████████████████████▌ | 40/73 [00:20<00:16, 1.95it/s][A
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56%|█████████████████████████████████████████████████████████████████▏ | 41/73 [00:20<00:16, 1.97it/s][A
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58%|██████████████████████████████████████████████████████████████████▋ | 42/73 [00:21<00:16, 1.93it/s][A
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59%|████████████████████████████████████████████████████████████████████▎ | 43/73 [00:21<00:15, 1.90it/s][A
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60%|█████████████████████████████████████████████████████████████████████▉ | 44/73 [00:22<00:15, 1.89it/s][A
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62%|███████████████████████████████████████████████████████████████████████▌ | 45/73 [00:22<00:15, 1.86it/s][A
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63%|█████████████████████████████████████████████████████████████████████████ | 46/73 [00:23<00:14, 1.91it/s][A
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64%|██████████████████████████████████████████████████████████████████████████▋ | 47/73 [00:23<00:13, 1.93it/s][A
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66%|████████████████████████████████████████████████████████████████████████████▎ | 48/73 [00:24<00:12, 1.96it/s][A
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67%|█████████████████████████████████████████████████████████████████████████████▊ | 49/73 [00:24<00:12, 1.91it/s][A
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68%|███████████████████████████████████████████████████████████████████████████████▍ | 50/73 [00:25<00:12, 1.89it/s][A
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70%|█████████████████████████████████████████████████████████████████████████████████ | 51/73 [00:25<00:11, 1.86it/s][A
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71%|██████████████████████████████████████████████████████████████████████████████████▋ | 52/73 [00:26<00:11, 1.85it/s][A
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73%|████████████████████████████████████████████████████████████████████████████████████▏ | 53/73 [00:26<00:10, 1.97it/s][A
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74%|█████████████████████████████████████████████████████████████████████████████████████▊ | 54/73 [00:27<00:09, 1.99it/s][A
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75%|███████████████████████████████████████████████████████████████████████████████████████▍ | 55/73 [00:27<00:08, 2.04it/s][A
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77%|████████████████████████████████████████████████████████████████████████████████████████▉ | 56/73 [00:28<00:08, 1.99it/s][A
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78%|██████████████████████████████████████████████████████████████████████████████████████████▌ | 57/73 [00:28<00:08, 1.94it/s][A
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79%|████████████████████████████████████████████████████████████████████████████████████████████▏ | 58/73 [00:29<00:07, 1.98it/s][A
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81%|█████████████████████████████████████████████████████████████████████████████████████████████▊ | 59/73 [00:30<00:07, 1.91it/s][A
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82%|███████████████████████████████████████████████████████████████████████████████████████████████▎ | 60/73 [00:30<00:06, 1.91it/s][A
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84%|████████████████████████████████████████████████████████████████████████████████████████████████▉ | 61/73 [00:31<00:06, 1.90it/s][A
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85%|██████████████████████████████████████████████████████████████████████████████████████████████████▌ | 62/73 [00:31<00:05, 1.87it/s][A
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86%|████████████████████████████████████████████████████████████████████████████████████████████████████ | 63/73 [00:32<00:05, 1.94it/s][A
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88%|█████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 64/73 [00:32<00:04, 1.95it/s][A
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89%|███████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 65/73 [00:33<00:04, 1.90it/s][A
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90%|████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 66/73 [00:33<00:03, 1.89it/s][A
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92%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 67/73 [00:34<00:03, 1.88it/s][A
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93%|████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 68/73 [00:34<00:02, 1.89it/s][A
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95%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 69/73 [00:35<00:02, 2.00it/s][A
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96%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 70/73 [00:35<00:01, 1.94it/s][A
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97%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 71/73 [00:36<00:01, 1.92it/s][A
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99%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 72/73 [00:36<00:00, 1.91it/s][A
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100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 73/73 [00:37<00:00, 2.03it/s][A
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[A{'eval_loss': 0.602572500705719, 'eval_runtime': 37.7828, 'eval_samples_per_second': 61.907, 'eval_steps_per_second': 1.959, 'eval_beta_dpo/beta': 0.0010000000474974513, 'eval_beta_dpo/loss_margin_mean': 233.9227294921875, 'eval_beta_dpo/beta_margin_mean': 0.23392271995544434, 'eval_beta_dpo/beta_margin_std': 0.3909527361392975, 'eval_beta_dpo/beta_margin_grad_mean': -0.4440717399120331, 'eval_beta_dpo/beta_margin_grad_std': 0.09194090217351913, 'eval_beta_dpo/gap_mean': 390.51129150390625, 'eval_beta_dpo/gap_std': 345.8570556640625, 'eval_beta_dpo/beta_used_raw': -9.295312881469727, 'eval_beta_dpo/beta_used': 0.0010000000474974513, 'eval_beta_dpo/mask_keep_frac': 1.0, 'eval_logits/chosen': -2.6421258449554443, 'eval_logits/rejected': -2.6563594341278076, 'epoch': 0.73}
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73%|███████████████████████████████████████████████████████████████████████████████████▋ | 500/681 [30:45<07:23, 2.45s/it]
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100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 73/73 [00:37<00:00, 2.03it/s][A
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[A
74%|███████████████████████████████████████████████████████████████████████████████████▊ | 501/681 [30:47<41:26, 13.82s/it]
{'loss': 1.0742, 'grad_norm': 30.496671676635742, 'learning_rate': 1.0036744111882672e-07, 'beta_dpo/gap_mean': 391.73577880859375, 'beta_dpo/gap_std': 350.0826416015625, 'beta_dpo/beta_used_raw': -1.6879664659500122, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.519293785095215, 'logits/rejected': -2.5676636695861816, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 394.26202392578125, 'beta_dpo/beta_margin_mean': 0.39426204562187195, 'beta_dpo/beta_margin_std': 0.3646033704280853, 'beta_dpo/beta_margin_grad_mean': -0.40555235743522644, 'beta_dpo/beta_margin_grad_std': 0.0859164372086525, 'epoch': 0.74}
|
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74%|███████████████████████████████████████████████████████████████████████████████████▊ | 501/681 [30:47<41:26, 13.82s/it]
74%|████████████████████████████████████████████████████████████████████████████████████ | 502/681 [30:50<31:17, 10.49s/it]
{'loss': 1.1023, 'grad_norm': 28.89243507385254, 'learning_rate': 9.934134090518592e-08, 'beta_dpo/gap_mean': 375.173095703125, 'beta_dpo/gap_std': 344.82647705078125, 'beta_dpo/beta_used_raw': -2.7983059883117676, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5925819873809814, 'logits/rejected': -2.604139804840088, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 278.6273193359375, 'beta_dpo/beta_margin_mean': 0.27862733602523804, 'beta_dpo/beta_margin_std': 0.3172290623188019, 'beta_dpo/beta_margin_grad_mean': -0.4322647154331207, 'beta_dpo/beta_margin_grad_std': 0.07655175775289536, 'epoch': 0.74}
|
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74%|████████████████████████████████████████████████████████████████████████████████████ | 502/681 [30:50<31:17, 10.49s/it]
74%|████████████████████████████████████████████████████████████████████████████████████▏ | 503/681 [30:52<23:55, 8.06s/it]
{'loss': 1.0943, 'grad_norm': 29.317602157592773, 'learning_rate': 9.831921068732571e-08, 'beta_dpo/gap_mean': 371.81048583984375, 'beta_dpo/gap_std': 340.92041015625, 'beta_dpo/beta_used_raw': -2.2302193641662598, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.562480926513672, 'logits/rejected': -2.6049766540527344, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 381.16021728515625, 'beta_dpo/beta_margin_mean': 0.3811602294445038, 'beta_dpo/beta_margin_std': 0.31262895464897156, 'beta_dpo/beta_margin_grad_mean': -0.4080732762813568, 'beta_dpo/beta_margin_grad_std': 0.07349276542663574, 'epoch': 0.74}
|
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74%|████████████████████████████████████████████████████████████████████████████████████▏ | 503/681 [30:52<23:55, 8.06s/it]
74%|████████████████████████████████████████████████████████████████████████████████████▎ | 504/681 [30:55<18:52, 6.40s/it]
{'loss': 0.1445, 'grad_norm': 30736.17578125, 'learning_rate': 9.730107739932805e-08, 'beta_dpo/gap_mean': 387.630126953125, 'beta_dpo/gap_std': 345.894775390625, 'beta_dpo/beta_used_raw': 3.8556745052337646, 'beta_dpo/beta_used': 3.8556745052337646, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5559229850769043, 'logits/rejected': -2.630270481109619, 'beta_dpo/beta': 3.8556745052337646, 'beta_dpo/loss_margin_mean': 475.9586181640625, 'beta_dpo/beta_margin_mean': 1844.1893310546875, 'beta_dpo/beta_margin_std': 1516.7772216796875, 'beta_dpo/beta_margin_grad_mean': -0.07770384848117828, 'beta_dpo/beta_margin_grad_std': 0.2669384777545929, 'epoch': 0.74}
|
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74%|████████████████████████████████████████████████████████████████████████████████████▎ | 504/681 [30:55<18:52, 6.40s/it]
74%|████████████████████████████████████████████████████████████████████████████████████▌ | 505/681 [30:57<15:18, 5.22s/it]
{'loss': 5.8766, 'grad_norm': 4374.5302734375, 'learning_rate': 9.628696786995188e-08, 'beta_dpo/gap_mean': 381.24481201171875, 'beta_dpo/gap_std': 361.23394775390625, 'beta_dpo/beta_used_raw': 0.008618459105491638, 'beta_dpo/beta_used': 0.16585735976696014, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6019692420959473, 'logits/rejected': -2.6386215686798096, 'beta_dpo/beta': 0.16585735976696014, 'beta_dpo/loss_margin_mean': 317.9100036621094, 'beta_dpo/beta_margin_mean': 50.6553840637207, 'beta_dpo/beta_margin_std': 122.78081512451172, 'beta_dpo/beta_margin_grad_mean': -0.2709311544895172, 'beta_dpo/beta_margin_grad_std': 0.27986839413642883, 'epoch': 0.74}
|
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|
74%|████████████████████████████████████████████████████████████████████████████████████▌ | 505/681 [30:57<15:18, 5.22s/it]
74%|████████████████████████████████████████████████████████████████████████████████████▋ | 506/681 [31:00<12:43, 4.37s/it]
{'loss': 5.6618, 'grad_norm': 4789.49853515625, 'learning_rate': 9.527690882192635e-08, 'beta_dpo/gap_mean': 379.2687072753906, 'beta_dpo/gap_std': 362.82806396484375, 'beta_dpo/beta_used_raw': 1.2173224687576294, 'beta_dpo/beta_used': 2.0099172592163086, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.577932357788086, 'logits/rejected': -2.627098560333252, 'beta_dpo/beta': 2.0099172592163086, 'beta_dpo/loss_margin_mean': 386.8839416503906, 'beta_dpo/beta_margin_mean': 805.3701171875, 'beta_dpo/beta_margin_std': 1344.735107421875, 'beta_dpo/beta_margin_grad_mean': -0.267021119594574, 'beta_dpo/beta_margin_grad_std': 0.27634257078170776, 'epoch': 0.74}
|
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74%|████████████████████████████████████████████████████████████████████████████████████▋ | 506/681 [31:00<12:43, 4.37s/it]
74%|████████████████████████████████████████████████████████████████████████████████████▊ | 507/681 [31:02<11:02, 3.81s/it]
{'loss': 1.1038, 'grad_norm': 29.211889266967773, 'learning_rate': 9.427092687124691e-08, 'beta_dpo/gap_mean': 374.45867919921875, 'beta_dpo/gap_std': 354.2435607910156, 'beta_dpo/beta_used_raw': -2.6754093170166016, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6004366874694824, 'logits/rejected': -2.6304922103881836, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 341.5248107910156, 'beta_dpo/beta_margin_mean': 0.34152480959892273, 'beta_dpo/beta_margin_std': 0.33954671025276184, 'beta_dpo/beta_margin_grad_mean': -0.4179416000843048, 'beta_dpo/beta_margin_grad_std': 0.08015478402376175, 'epoch': 0.74}
|
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|
|
74%|████████████████████████████████████████████████████████████████████████████████████▊ | 507/681 [31:02<11:02, 3.81s/it]
75%|█████████████████████████████████████████████████████████████████████████████████████ | 508/681 [31:05<09:56, 3.45s/it]
{'loss': 1.1269, 'grad_norm': 28.369312286376953, 'learning_rate': 9.326904852647344e-08, 'beta_dpo/gap_mean': 369.85711669921875, 'beta_dpo/gap_std': 362.80743408203125, 'beta_dpo/beta_used_raw': -3.8720993995666504, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6036999225616455, 'logits/rejected': -2.642367362976074, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 373.6902160644531, 'beta_dpo/beta_margin_mean': 0.3736902177333832, 'beta_dpo/beta_margin_std': 0.3952173888683319, 'beta_dpo/beta_margin_grad_mean': -0.4112531542778015, 'beta_dpo/beta_margin_grad_std': 0.09117571264505386, 'epoch': 0.75}
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75%|█████████████████████████████████████████████████████████████████████████████████████ | 508/681 [31:05<09:56, 3.45s/it]
75%|█████████████████████████████████████████████████████████████████████████████████████▏ | 509/681 [31:08<09:09, 3.19s/it]
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|
75%|█████████████████████████████████████████████████████████████████████████████████████▏ | 509/681 [31:08<09:09, 3.19s/it]
75%|█████████████████████████████████████████████████████████████████████████████████████▎ | 510/681 [31:10<08:30, 2.99s/it]
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75%|█████████████████████████████████████████████████████████████████████████████████████▎ | 510/681 [31:10<08:30, 2.99s/it]
75%|█████████████████████████████████████████████████████████████████████████████████████▌ | 511/681 [31:12<07:54, 2.79s/it]
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|
75%|█████████████████████████████████████████████████████████████████████████████████████▌ | 511/681 [31:12<07:54, 2.79s/it]
75%|█████████████████████████████████████████████████████████████████████████████████████▋ | 512/681 [31:15<07:26, 2.64s/it]
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75%|█████████████████████████████████████████████████████████████████████████████████████▋ | 512/681 [31:15<07:26, 2.64s/it]
75%|█████████████████████████████████████████████████████████████████████████████████████▉ | 513/681 [31:17<07:27, 2.66s/it]
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|
75%|█████████████████████████████████████████████████████████████████████████████████████▉ | 513/681 [31:17<07:27, 2.66s/it]
75%|██████████████████████████████████████████████████████████████████████████████████████ | 514/681 [31:20<07:14, 2.60s/it]
{'loss': 1.0886, 'grad_norm': 32.19744873046875, 'learning_rate': 8.734542494893954e-08, 'beta_dpo/gap_mean': 375.724365234375, 'beta_dpo/gap_std': 334.5943908691406, 'beta_dpo/beta_used_raw': -2.028075695037842, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.555717706680298, 'logits/rejected': -2.603783369064331, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 353.536865234375, 'beta_dpo/beta_margin_mean': 0.3535368740558624, 'beta_dpo/beta_margin_std': 0.3357268273830414, 'beta_dpo/beta_margin_grad_mean': -0.4150505065917969, 'beta_dpo/beta_margin_grad_std': 0.07808467000722885, 'epoch': 0.75}
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|
75%|██████████████████████████████████████████████████████████████████████████████████████ | 514/681 [31:20<07:14, 2.60s/it]
76%|██████████████████████████████████████████████████████████████████████████████████████▏ | 515/681 [31:22<07:01, 2.54s/it]
{'loss': 3.1348, 'grad_norm': 7053.50537109375, 'learning_rate': 8.637300491465272e-08, 'beta_dpo/gap_mean': 374.7799987792969, 'beta_dpo/gap_std': 340.4820556640625, 'beta_dpo/beta_used_raw': 3.737210988998413, 'beta_dpo/beta_used': 3.737210988998413, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5503506660461426, 'logits/rejected': -2.6203575134277344, 'beta_dpo/beta': 3.737210988998413, 'beta_dpo/loss_margin_mean': 349.0910949707031, 'beta_dpo/beta_margin_mean': 1422.5458984375, 'beta_dpo/beta_margin_std': 1979.079345703125, 'beta_dpo/beta_margin_grad_mean': -0.14027747511863708, 'beta_dpo/beta_margin_grad_std': 0.3467850983142853, 'epoch': 0.76}
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|
76%|██████████████████████████████████████████████████████████████████████████████████████▏ | 515/681 [31:22<07:01, 2.54s/it]
76%|██████████████████████████████████████████████████████████████████████████████████████▍ | 516/681 [31:25<07:00, 2.55s/it]
{'loss': 8.3798, 'grad_norm': 11149.91796875, 'learning_rate': 8.540489660386064e-08, 'beta_dpo/gap_mean': 384.8233642578125, 'beta_dpo/gap_std': 366.90264892578125, 'beta_dpo/beta_used_raw': -0.5360516309738159, 'beta_dpo/beta_used': 0.4134178161621094, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.595862627029419, 'logits/rejected': -2.688004493713379, 'beta_dpo/beta': 0.4134178161621094, 'beta_dpo/loss_margin_mean': 453.2371520996094, 'beta_dpo/beta_margin_mean': 205.34104919433594, 'beta_dpo/beta_margin_std': 399.5401611328125, 'beta_dpo/beta_margin_grad_mean': -0.279133677482605, 'beta_dpo/beta_margin_grad_std': 0.2908896803855896, 'epoch': 0.76}
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|
76%|██████████████████████████████████████████████████████████████████████████████████████▍ | 516/681 [31:25<07:00, 2.55s/it]
76%|██████████████████████████████████████████████████████████████████████████████████████▌ | 517/681 [31:27<06:54, 2.53s/it]
{'loss': 18.2512, 'grad_norm': 21861.8203125, 'learning_rate': 8.444112552711752e-08, 'beta_dpo/gap_mean': 392.5709533691406, 'beta_dpo/gap_std': 370.2559509277344, 'beta_dpo/beta_used_raw': 1.4570624828338623, 'beta_dpo/beta_used': 1.5258046388626099, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5828640460968018, 'logits/rejected': -2.6403748989105225, 'beta_dpo/beta': 1.5258046388626099, 'beta_dpo/loss_margin_mean': 411.7127685546875, 'beta_dpo/beta_margin_mean': 720.7048950195312, 'beta_dpo/beta_margin_std': 1094.427001953125, 'beta_dpo/beta_margin_grad_mean': -0.2544478476047516, 'beta_dpo/beta_margin_grad_std': 0.26925018429756165, 'epoch': 0.76}
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|
76%|██████████████████████████████████████████████████████████████████████████████████████▌ | 517/681 [31:27<06:54, 2.53s/it]
76%|██████████████████████████████████████████████████████████████████████████████████████▋ | 518/681 [31:30<06:51, 2.52s/it]
{'loss': 1.0891, 'grad_norm': 35.12870788574219, 'learning_rate': 8.348171708068747e-08, 'beta_dpo/gap_mean': 390.30194091796875, 'beta_dpo/gap_std': 370.6991882324219, 'beta_dpo/beta_used_raw': -2.791685104370117, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.565255880355835, 'logits/rejected': -2.629263162612915, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 376.53631591796875, 'beta_dpo/beta_margin_mean': 0.3765363395214081, 'beta_dpo/beta_margin_std': 0.3559281527996063, 'beta_dpo/beta_margin_grad_mean': -0.4097965955734253, 'beta_dpo/beta_margin_grad_std': 0.0833662748336792, 'epoch': 0.76}
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|
76%|██████████████████████████████████████████████████████████████████████████████████████▋ | 518/681 [31:30<06:51, 2.52s/it]
76%|██████████████████████████████████████████████████████████████████████████████████████▉ | 519/681 [31:32<06:51, 2.54s/it]
{'loss': 1.0877, 'grad_norm': 29.76219367980957, 'learning_rate': 8.25266965458755e-08, 'beta_dpo/gap_mean': 392.6380615234375, 'beta_dpo/gap_std': 373.5154113769531, 'beta_dpo/beta_used_raw': -2.772631883621216, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.607625961303711, 'logits/rejected': -2.6605143547058105, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 417.6685791015625, 'beta_dpo/beta_margin_mean': 0.4176686108112335, 'beta_dpo/beta_margin_std': 0.4266796112060547, 'beta_dpo/beta_margin_grad_mean': -0.4017196595668793, 'beta_dpo/beta_margin_grad_std': 0.0956096351146698, 'epoch': 0.76}
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|
76%|██████████████████████████████████████████████████████████████████████████████████████▉ | 519/681 [31:32<06:51, 2.54s/it]
76%|███████████████████████████████████████████████████████████████████████████████████████ | 520/681 [31:35<06:49, 2.54s/it]
{'loss': 6.8461, 'grad_norm': 16670.017578125, 'learning_rate': 8.15760890883607e-08, 'beta_dpo/gap_mean': 399.25439453125, 'beta_dpo/gap_std': 378.07611083984375, 'beta_dpo/beta_used_raw': 1.1038464307785034, 'beta_dpo/beta_used': 1.1038464307785034, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5519027709960938, 'logits/rejected': -2.6170506477355957, 'beta_dpo/beta': 1.1038464307785034, 'beta_dpo/loss_margin_mean': 422.9557189941406, 'beta_dpo/beta_margin_mean': 507.0424499511719, 'beta_dpo/beta_margin_std': 722.092041015625, 'beta_dpo/beta_margin_grad_mean': -0.07864061743021011, 'beta_dpo/beta_margin_grad_std': 0.26824915409088135, 'epoch': 0.76}
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|
76%|███████████████████████████████████████████████████████████████████████████████████████ | 520/681 [31:35<06:49, 2.54s/it]
77%|███████████████████████████████████████████████████████████████████████████████████████▏ | 521/681 [31:37<06:43, 2.52s/it]
{'loss': 13.2254, 'grad_norm': 20681.9140625, 'learning_rate': 8.062991975753378e-08, 'beta_dpo/gap_mean': 391.2038879394531, 'beta_dpo/gap_std': 371.0228271484375, 'beta_dpo/beta_used_raw': 1.2119355201721191, 'beta_dpo/beta_used': 1.2119355201721191, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.595400333404541, 'logits/rejected': -2.645524024963379, 'beta_dpo/beta': 1.2119355201721191, 'beta_dpo/loss_margin_mean': 357.31500244140625, 'beta_dpo/beta_margin_mean': 429.1769104003906, 'beta_dpo/beta_margin_std': 439.9748229980469, 'beta_dpo/beta_margin_grad_mean': -0.1504676640033722, 'beta_dpo/beta_margin_grad_std': 0.35239845514297485, 'epoch': 0.77}
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|
77%|███████████████████████████████████████████████████████████████████████████████████████▏ | 521/681 [31:37<06:43, 2.52s/it]
77%|███████████████████████████████████████████████████████████████████████████████████████▍ | 522/681 [31:40<06:34, 2.48s/it]
{'loss': 1.1038, 'grad_norm': 25.660398483276367, 'learning_rate': 7.968821348583643e-08, 'beta_dpo/gap_mean': 379.1689147949219, 'beta_dpo/gap_std': 368.09771728515625, 'beta_dpo/beta_used_raw': -3.027829647064209, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.570929527282715, 'logits/rejected': -2.6126561164855957, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 326.8641052246094, 'beta_dpo/beta_margin_mean': 0.3268641233444214, 'beta_dpo/beta_margin_std': 0.3883510231971741, 'beta_dpo/beta_margin_grad_mean': -0.42150411009788513, 'beta_dpo/beta_margin_grad_std': 0.09007870405912399, 'epoch': 0.77}
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|
77%|███████████████████████████████████████████████████████████████████████████████████████▍ | 522/681 [31:40<06:34, 2.48s/it]
77%|███████████████████████████████████████████████████████████████████████████████████████▌ | 523/681 [31:42<06:25, 2.44s/it]
{'loss': 1.1252, 'grad_norm': 29.40875244140625, 'learning_rate': 7.875099508810484e-08, 'beta_dpo/gap_mean': 377.38458251953125, 'beta_dpo/gap_std': 372.1881103515625, 'beta_dpo/beta_used_raw': -4.161890029907227, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5962986946105957, 'logits/rejected': -2.658698081970215, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 359.45703125, 'beta_dpo/beta_margin_mean': 0.3594570457935333, 'beta_dpo/beta_margin_std': 0.3804139494895935, 'beta_dpo/beta_margin_grad_mean': -0.4145914912223816, 'beta_dpo/beta_margin_grad_std': 0.08707987517118454, 'epoch': 0.77}
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|
77%|███████████████████████████████████████████████████████████████████████████████████████▌ | 523/681 [31:42<06:25, 2.44s/it]
77%|███████████████████████████████████████████████████████████████████████████████████████▋ | 524/681 [31:45<06:33, 2.51s/it]
{'loss': 25.215, 'grad_norm': 44968.94140625, 'learning_rate': 7.781828926091535e-08, 'beta_dpo/gap_mean': 380.9888916015625, 'beta_dpo/gap_std': 365.5908203125, 'beta_dpo/beta_used_raw': 1.6613166332244873, 'beta_dpo/beta_used': 2.29657244682312, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.635100841522217, 'logits/rejected': -2.6668195724487305, 'beta_dpo/beta': 2.29657244682312, 'beta_dpo/loss_margin_mean': 409.36083984375, 'beta_dpo/beta_margin_mean': 990.7221069335938, 'beta_dpo/beta_margin_std': 1473.548583984375, 'beta_dpo/beta_margin_grad_mean': -0.24990545213222504, 'beta_dpo/beta_margin_grad_std': 0.2622232139110565, 'epoch': 0.77}
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|
77%|███████████████████████████████████████████████████████████████████████████████████████▋ | 524/681 [31:45<06:33, 2.51s/it]
77%|███████████████████████████████████████████████████████████████████████████████████████▉ | 525/681 [31:47<06:24, 2.47s/it]
{'loss': 1.0849, 'grad_norm': 29.38068199157715, 'learning_rate': 7.689012058193384e-08, 'beta_dpo/gap_mean': 395.54022216796875, 'beta_dpo/gap_std': 364.6204833984375, 'beta_dpo/beta_used_raw': -2.465731620788574, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5895333290100098, 'logits/rejected': -2.678103446960449, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 473.43365478515625, 'beta_dpo/beta_margin_mean': 0.4734336733818054, 'beta_dpo/beta_margin_std': 0.39495328068733215, 'beta_dpo/beta_margin_grad_mean': -0.3882511854171753, 'beta_dpo/beta_margin_grad_std': 0.08840624243021011, 'epoch': 0.77}
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77%|███████████████████████████████████████████████████████████████████████████████████████▉ | 525/681 [31:47<06:24, 2.47s/it]
77%|████████████████████████████████████████████████████████████████████████████████████████ | 526/681 [31:50<06:28, 2.51s/it]
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|
77%|████████████████████████████████████████████████████████████████████████████████████████ | 526/681 [31:50<06:28, 2.51s/it]
77%|████████████████████████████████████████████████████████████████████████████████████████▏ | 527/681 [31:52<06:23, 2.49s/it]
{'loss': 0.5226, 'grad_norm': 16.68294334411621, 'learning_rate': 7.504749238082414e-08, 'beta_dpo/gap_mean': 398.12164306640625, 'beta_dpo/gap_std': 351.50225830078125, 'beta_dpo/beta_used_raw': 1.1723434925079346, 'beta_dpo/beta_used': 1.2439494132995605, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6491198539733887, 'logits/rejected': -2.690948009490967, 'beta_dpo/beta': 1.2439494132995605, 'beta_dpo/loss_margin_mean': 367.6454772949219, 'beta_dpo/beta_margin_mean': 454.62713623046875, 'beta_dpo/beta_margin_std': 778.6525268554688, 'beta_dpo/beta_margin_grad_mean': -0.2362092137336731, 'beta_dpo/beta_margin_grad_std': 0.24737012386322021, 'epoch': 0.77}
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|
77%|████████████████████████████████████████████████████████████████████████████████████████▏ | 527/681 [31:52<06:23, 2.49s/it]
78%|████████████████████████████████████████████████████████████████████████████████████████▍ | 528/681 [31:55<06:28, 2.54s/it]
{'loss': 0.5897, 'grad_norm': 1461.6524658203125, 'learning_rate': 7.413308141366254e-08, 'beta_dpo/gap_mean': 398.49981689453125, 'beta_dpo/gap_std': 356.4637451171875, 'beta_dpo/beta_used_raw': 0.277756929397583, 'beta_dpo/beta_used': 0.8667228817939758, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6200203895568848, 'logits/rejected': -2.6761021614074707, 'beta_dpo/beta': 0.8667228817939758, 'beta_dpo/loss_margin_mean': 409.8684997558594, 'beta_dpo/beta_margin_mean': 354.2501220703125, 'beta_dpo/beta_margin_std': 623.5271606445312, 'beta_dpo/beta_margin_grad_mean': -0.26016074419021606, 'beta_dpo/beta_margin_grad_std': 0.27118903398513794, 'epoch': 0.78}
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|
78%|████████████████████████████████████████████████████████████████████████████████████████▍ | 528/681 [31:55<06:28, 2.54s/it]
78%|████████████████████████████████████████████████████████████████████████████████████████▌ | 529/681 [31:57<06:20, 2.51s/it]
{'loss': 1.5042, 'grad_norm': 690.0531616210938, 'learning_rate': 7.322330470336313e-08, 'beta_dpo/gap_mean': 395.13067626953125, 'beta_dpo/gap_std': 357.2676696777344, 'beta_dpo/beta_used_raw': -1.6348989009857178, 'beta_dpo/beta_used': 0.020879942923784256, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5948238372802734, 'logits/rejected': -2.6651344299316406, 'beta_dpo/beta': 0.020879942923784256, 'beta_dpo/loss_margin_mean': 370.92144775390625, 'beta_dpo/beta_margin_mean': 7.774229049682617, 'beta_dpo/beta_margin_std': 13.420893669128418, 'beta_dpo/beta_margin_grad_mean': -0.297647625207901, 'beta_dpo/beta_margin_grad_std': 0.2874828577041626, 'epoch': 0.78}
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|
78%|████████████████████████████████████████████████████████████████████████████████████████▌ | 529/681 [31:57<06:20, 2.51s/it]
78%|████████████████████████████████████████████████████████████████████████████████████████▋ | 530/681 [32:00<06:17, 2.50s/it]
{'loss': 1.0674, 'grad_norm': 31.403076171875, 'learning_rate': 7.231818622338822e-08, 'beta_dpo/gap_mean': 393.1609802246094, 'beta_dpo/gap_std': 356.60321044921875, 'beta_dpo/beta_used_raw': -1.191973090171814, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.56978440284729, 'logits/rejected': -2.6270089149475098, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 399.576904296875, 'beta_dpo/beta_margin_mean': 0.39957693219184875, 'beta_dpo/beta_margin_std': 0.38682180643081665, 'beta_dpo/beta_margin_grad_mean': -0.4054359197616577, 'beta_dpo/beta_margin_grad_std': 0.08558761328458786, 'epoch': 0.78}
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|
78%|████████████████████████████████████████████████████████████████████████████████████████▋ | 530/681 [32:00<06:17, 2.50s/it]
78%|████████████████████████████████████████████████████████████████████████████████████████▉ | 531/681 [32:02<06:08, 2.45s/it]
{'loss': 1.0808, 'grad_norm': 32.01457595825195, 'learning_rate': 7.141774982445147e-08, 'beta_dpo/gap_mean': 389.8656005859375, 'beta_dpo/gap_std': 350.780517578125, 'beta_dpo/beta_used_raw': -2.2725701332092285, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.617753028869629, 'logits/rejected': -2.669069290161133, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 356.77655029296875, 'beta_dpo/beta_margin_mean': 0.35677656531333923, 'beta_dpo/beta_margin_std': 0.29285889863967896, 'beta_dpo/beta_margin_grad_mean': -0.4135720729827881, 'beta_dpo/beta_margin_grad_std': 0.06900368630886078, 'epoch': 0.78}
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|
78%|████████████████████████████████████████████████████████████████████████████████████████▉ | 531/681 [32:02<06:08, 2.45s/it]
78%|█████████████████████████████████████████████████████████████████████████████████████████ | 532/681 [32:05<06:05, 2.46s/it]
{'loss': 15.0837, 'grad_norm': 17459.1015625, 'learning_rate': 7.052201923388953e-08, 'beta_dpo/gap_mean': 390.6937255859375, 'beta_dpo/gap_std': 356.8406066894531, 'beta_dpo/beta_used_raw': -0.1769140660762787, 'beta_dpo/beta_used': 0.38395339250564575, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6145548820495605, 'logits/rejected': -2.652617931365967, 'beta_dpo/beta': 0.38395339250564575, 'beta_dpo/loss_margin_mean': 376.4180908203125, 'beta_dpo/beta_margin_mean': 182.82447814941406, 'beta_dpo/beta_margin_std': 285.89324951171875, 'beta_dpo/beta_margin_grad_mean': -0.279400497674942, 'beta_dpo/beta_margin_grad_std': 0.2882375121116638, 'epoch': 0.78}
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|
78%|█████████████████████████████████████████████████████████████████████████████████████████ | 532/681 [32:05<06:05, 2.46s/it]
78%|█████████████████████████████████████████████████████████████████████████████████████████▏ | 533/681 [32:07<06:05, 2.47s/it]
{'loss': 1.1201, 'grad_norm': 28.039445877075195, 'learning_rate': 6.963101805503646e-08, 'beta_dpo/gap_mean': 374.2669677734375, 'beta_dpo/gap_std': 358.24761962890625, 'beta_dpo/beta_used_raw': -4.292230129241943, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.640665054321289, 'logits/rejected': -2.666677474975586, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 340.22698974609375, 'beta_dpo/beta_margin_mean': 0.34022700786590576, 'beta_dpo/beta_margin_std': 0.35058268904685974, 'beta_dpo/beta_margin_grad_mean': -0.4183679223060608, 'beta_dpo/beta_margin_grad_std': 0.08154841512441635, 'epoch': 0.78}
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|||
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|
78%|█████████████████████████████████████████████████████████████████████████████████████████▏ | 533/681 [32:07<06:05, 2.47s/it]
78%|█████████████████████████████████████████████████████████████████████████████████████████▍ | 534/681 [32:09<05:59, 2.45s/it]
{'loss': 0.5378, 'grad_norm': 23.792999267578125, 'learning_rate': 6.874476976660184e-08, 'beta_dpo/gap_mean': 380.38348388671875, 'beta_dpo/gap_std': 344.8291015625, 'beta_dpo/beta_used_raw': 1.948282241821289, 'beta_dpo/beta_used': 2.3452858924865723, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6000583171844482, 'logits/rejected': -2.6584179401397705, 'beta_dpo/beta': 2.3452858924865723, 'beta_dpo/loss_margin_mean': 386.6946105957031, 'beta_dpo/beta_margin_mean': 1004.8426513671875, 'beta_dpo/beta_margin_std': 1333.9495849609375, 'beta_dpo/beta_margin_grad_mean': -0.23946087062358856, 'beta_dpo/beta_margin_grad_std': 0.25099116563796997, 'epoch': 0.78}
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|
|
78%|█████████████████████████████████████████████████████████████████████████████████████████▍ | 534/681 [32:10<05:59, 2.45s/it]
79%|█████████████████████████████████████████████████████████████████████████████████████████▌ | 535/681 [32:12<05:59, 2.46s/it]
{'loss': 0.5469, 'grad_norm': 19.05939292907715, 'learning_rate': 6.786329772205246e-08, 'beta_dpo/gap_mean': 384.7388610839844, 'beta_dpo/gap_std': 346.4287109375, 'beta_dpo/beta_used_raw': -1.0114219188690186, 'beta_dpo/beta_used': 0.4307881295681, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6111888885498047, 'logits/rejected': -2.6767916679382324, 'beta_dpo/beta': 0.4307881295681, 'beta_dpo/loss_margin_mean': 431.2344970703125, 'beta_dpo/beta_margin_mean': 199.35324096679688, 'beta_dpo/beta_margin_std': 241.94654846191406, 'beta_dpo/beta_margin_grad_mean': -0.2031729370355606, 'beta_dpo/beta_margin_grad_std': 0.2144741714000702, 'epoch': 0.79}
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|
|
79%|█████████████████████████████████████████████████████████████████████████████████████████▌ | 535/681 [32:12<05:59, 2.46s/it]
79%|█████████████████████████████████████████████████████████████████████████████████████████▋ | 536/681 [32:14<05:58, 2.47s/it]
{'loss': 17.1121, 'grad_norm': 29718.033203125, 'learning_rate': 6.698662514899638e-08, 'beta_dpo/gap_mean': 391.91632080078125, 'beta_dpo/gap_std': 333.91339111328125, 'beta_dpo/beta_used_raw': -0.6562622785568237, 'beta_dpo/beta_used': 1.0523020029067993, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6316137313842773, 'logits/rejected': -2.7104220390319824, 'beta_dpo/beta': 1.0523020029067993, 'beta_dpo/loss_margin_mean': 422.7450256347656, 'beta_dpo/beta_margin_mean': 488.0250244140625, 'beta_dpo/beta_margin_std': 711.1327514648438, 'beta_dpo/beta_margin_grad_mean': -0.2505837380886078, 'beta_dpo/beta_margin_grad_std': 0.2626131772994995, 'epoch': 0.79}
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|
|
79%|█████████████████████████████████████████████████████████████████████████████████████████▋ | 536/681 [32:14<05:58, 2.47s/it]
79%|█████████████████████████████████████████████████████████████████████████████████████████▉ | 537/681 [32:17<05:58, 2.49s/it]
{'loss': 8.0099, 'grad_norm': 6313.296875, 'learning_rate': 6.611477514857114e-08, 'beta_dpo/gap_mean': 391.814208984375, 'beta_dpo/gap_std': 327.1514892578125, 'beta_dpo/beta_used_raw': -1.9871588945388794, 'beta_dpo/beta_used': 0.34959638118743896, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.599724531173706, 'logits/rejected': -2.6477694511413574, 'beta_dpo/beta': 0.34959638118743896, 'beta_dpo/loss_margin_mean': 381.2959899902344, 'beta_dpo/beta_margin_mean': 147.22267150878906, 'beta_dpo/beta_margin_std': 205.2282257080078, 'beta_dpo/beta_margin_grad_mean': -0.22656311094760895, 'beta_dpo/beta_margin_grad_std': 0.2316565066576004, 'epoch': 0.79}
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|
|
79%|█████████████████████████████████████████████████████████████████████████████████████████▉ | 537/681 [32:17<05:58, 2.49s/it]
79%|██████████████████████████████████████████████████████████████████████████████████████████ | 538/681 [32:19<05:50, 2.45s/it]
{'loss': 14.8493, 'grad_norm': 41323.671875, 'learning_rate': 6.524777069483525e-08, 'beta_dpo/gap_mean': 395.1236572265625, 'beta_dpo/gap_std': 327.88568115234375, 'beta_dpo/beta_used_raw': 1.1537326574325562, 'beta_dpo/beta_used': 1.2048133611679077, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.661776542663574, 'logits/rejected': -2.7106385231018066, 'beta_dpo/beta': 1.2048133611679077, 'beta_dpo/loss_margin_mean': 404.2270202636719, 'beta_dpo/beta_margin_mean': 482.0516662597656, 'beta_dpo/beta_margin_std': 875.5813598632812, 'beta_dpo/beta_margin_grad_mean': -0.2943846881389618, 'beta_dpo/beta_margin_grad_std': 0.2998571991920471, 'epoch': 0.79}
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|
79%|██████████████████████████████████████████████████████████████████████████████████████████ | 538/681 [32:19<05:50, 2.45s/it]
79%|██████████████████████████████████████████████████████████████████████████████████████████▏ | 539/681 [32:22<05:48, 2.46s/it]
{'loss': 4.6975, 'grad_norm': 28027.939453125, 'learning_rate': 6.438563463416221e-08, 'beta_dpo/gap_mean': 399.99566650390625, 'beta_dpo/gap_std': 335.73211669921875, 'beta_dpo/beta_used_raw': -1.5928860902786255, 'beta_dpo/beta_used': 1.1724320650100708, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6445555686950684, 'logits/rejected': -2.700587511062622, 'beta_dpo/beta': 1.1724320650100708, 'beta_dpo/loss_margin_mean': 406.2193298339844, 'beta_dpo/beta_margin_mean': 555.3789672851562, 'beta_dpo/beta_margin_std': 792.5721435546875, 'beta_dpo/beta_margin_grad_mean': -0.25635582208633423, 'beta_dpo/beta_margin_grad_std': 0.2684703767299652, 'epoch': 0.79}
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|
79%|██████████████████████████████████████████████████████████████████████████████████████████▏ | 539/681 [32:22<05:48, 2.46s/it]
79%|██████████████████████████████████████████████████████████████████████████████████████████▍ | 540/681 [32:24<05:47, 2.46s/it]
{'loss': 106.2179, 'grad_norm': 125367.3359375, 'learning_rate': 6.352838968463919e-08, 'beta_dpo/gap_mean': 402.3629150390625, 'beta_dpo/gap_std': 344.58099365234375, 'beta_dpo/beta_used_raw': 2.8483712673187256, 'beta_dpo/beta_used': 2.8483712673187256, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.636195659637451, 'logits/rejected': -2.7234175205230713, 'beta_dpo/beta': 2.8483712673187256, 'beta_dpo/loss_margin_mean': 461.46783447265625, 'beta_dpo/beta_margin_mean': 1546.208740234375, 'beta_dpo/beta_margin_std': 2491.53271484375, 'beta_dpo/beta_margin_grad_mean': -0.15959151089191437, 'beta_dpo/beta_margin_grad_std': 0.36039698123931885, 'epoch': 0.79}
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|
|
79%|██████████████████████████████████████████████████████████████████████████████████████████▍ | 540/681 [32:24<05:47, 2.46s/it]
79%|██████████████████████████████████████████████████████████████████████████████████████████▌ | 541/681 [32:27<05:47, 2.49s/it]
{'loss': 11.3344, 'grad_norm': 10829.640625, 'learning_rate': 6.267605843546767e-08, 'beta_dpo/gap_mean': 415.33734130859375, 'beta_dpo/gap_std': 352.0528869628906, 'beta_dpo/beta_used_raw': 0.7488507628440857, 'beta_dpo/beta_used': 0.7488507628440857, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6342930793762207, 'logits/rejected': -2.6951427459716797, 'beta_dpo/beta': 0.7488507628440857, 'beta_dpo/loss_margin_mean': 423.2877502441406, 'beta_dpo/beta_margin_mean': 317.4271545410156, 'beta_dpo/beta_margin_std': 262.6924133300781, 'beta_dpo/beta_margin_grad_mean': -0.09352385252714157, 'beta_dpo/beta_margin_grad_std': 0.2907818555831909, 'epoch': 0.79}
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|
|
79%|██████████████████████████████████████████████████████████████████████████████████████████▌ | 541/681 [32:27<05:47, 2.49s/it]
80%|██████████████████████████████████████████████████████████████████████████████████████████▋ | 542/681 [32:29<05:44, 2.48s/it]
{'loss': 0.5163, 'grad_norm': 18.31541633605957, 'learning_rate': 6.182866334636888e-08, 'beta_dpo/gap_mean': 422.68658447265625, 'beta_dpo/gap_std': 355.011474609375, 'beta_dpo/beta_used_raw': 0.6870288848876953, 'beta_dpo/beta_used': 0.9092043042182922, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.609865188598633, 'logits/rejected': -2.7070038318634033, 'beta_dpo/beta': 0.9092043042182922, 'beta_dpo/loss_margin_mean': 452.62939453125, 'beta_dpo/beta_margin_mean': 514.0123291015625, 'beta_dpo/beta_margin_std': 732.8487548828125, 'beta_dpo/beta_margin_grad_mean': -0.20870338380336761, 'beta_dpo/beta_margin_grad_std': 0.21450397372245789, 'epoch': 0.8}
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|
80%|██████████████████████████████████████████████████████████████████████████████████████████▋ | 542/681 [32:29<05:44, 2.48s/it]
80%|██████████████████████████████████████████████████████████████████████████████████████████▉ | 543/681 [32:32<05:41, 2.47s/it]
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|
80%|██████████████████████████████████████████████████████████████████████████████████████████▉ | 543/681 [32:32<05:41, 2.47s/it]
80%|███████████████████████████████████████████████████████████████████████████████████████████ | 544/681 [32:34<05:41, 2.49s/it]
{'loss': 1.0614, 'grad_norm': 30.542661666870117, 'learning_rate': 6.01487708363232e-08, 'beta_dpo/gap_mean': 416.6801452636719, 'beta_dpo/gap_std': 379.8859558105469, 'beta_dpo/beta_used_raw': -2.288872003555298, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.613583564758301, 'logits/rejected': -2.71563458442688, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 447.8075866699219, 'beta_dpo/beta_margin_mean': 0.4478076100349426, 'beta_dpo/beta_margin_std': 0.4668709635734558, 'beta_dpo/beta_margin_grad_mean': -0.39683008193969727, 'beta_dpo/beta_margin_grad_std': 0.09721162915229797, 'epoch': 0.8}
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|
80%|███████████████████████████████████████████████████████████████████████████████████████████ | 544/681 [32:34<05:41, 2.49s/it]
80%|███████████████████████████████████████████████████████████████████████████████████████████▏ | 545/681 [32:37<05:39, 2.50s/it]
{'loss': 1.0454, 'grad_norm': 28.606706619262695, 'learning_rate': 5.9316317682106294e-08, 'beta_dpo/gap_mean': 419.52044677734375, 'beta_dpo/gap_std': 381.7796630859375, 'beta_dpo/beta_used_raw': -1.404287576675415, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.57968807220459, 'logits/rejected': -2.652435302734375, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 417.7744140625, 'beta_dpo/beta_margin_mean': 0.4177744388580322, 'beta_dpo/beta_margin_std': 0.38359367847442627, 'beta_dpo/beta_margin_grad_mean': -0.401055246591568, 'beta_dpo/beta_margin_grad_std': 0.08540057390928268, 'epoch': 0.8}
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|
80%|███████████████████████████████████████████████████████████████████████████████████████████▏ | 545/681 [32:37<05:39, 2.50s/it]
80%|███████████████████████████████████████████████████████████████████████████████████████████▍ | 546/681 [32:39<05:36, 2.49s/it]
{'loss': 1.0875, 'grad_norm': 27.95216941833496, 'learning_rate': 5.848888922025552e-08, 'beta_dpo/gap_mean': 417.3631591796875, 'beta_dpo/gap_std': 376.4284362792969, 'beta_dpo/beta_used_raw': -4.077838897705078, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5938525199890137, 'logits/rejected': -2.6582956314086914, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 390.24627685546875, 'beta_dpo/beta_margin_mean': 0.39024630188941956, 'beta_dpo/beta_margin_std': 0.3554038107395172, 'beta_dpo/beta_margin_grad_mean': -0.4062955677509308, 'beta_dpo/beta_margin_grad_std': 0.08303419500589371, 'epoch': 0.8}
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80%|███████████████████████████████████████████████████████████████████████████████████████████▍ | 546/681 [32:39<05:36, 2.49s/it]
80%|███████████████████████████████████████████████████████████████████████████████████████████▌ | 547/681 [32:42<05:33, 2.49s/it]
{'loss': 15.5121, 'grad_norm': 20749.9375, 'learning_rate': 5.7666507254280265e-08, 'beta_dpo/gap_mean': 409.3026123046875, 'beta_dpo/gap_std': 369.95867919921875, 'beta_dpo/beta_used_raw': 0.5545767545700073, 'beta_dpo/beta_used': 2.1992263793945312, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.629915714263916, 'logits/rejected': -2.6946840286254883, 'beta_dpo/beta': 2.1992263793945312, 'beta_dpo/loss_margin_mean': 390.19146728515625, 'beta_dpo/beta_margin_mean': 901.9774169921875, 'beta_dpo/beta_margin_std': 1424.427490234375, 'beta_dpo/beta_margin_grad_mean': -0.2521184980869293, 'beta_dpo/beta_margin_grad_std': 0.264556348323822, 'epoch': 0.8}
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|
80%|███████████████████████████████████████████████████████████████████████████████████████████▌ | 547/681 [32:42<05:33, 2.49s/it]
80%|███████████████████████████████████████████████████████████████████████████████████████████▋ | 548/681 [32:44<05:36, 2.53s/it]
{'loss': 1.0832, 'grad_norm': 31.523386001586914, 'learning_rate': 5.684919345471029e-08, 'beta_dpo/gap_mean': 413.58660888671875, 'beta_dpo/gap_std': 367.1708984375, 'beta_dpo/beta_used_raw': -3.715212345123291, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.636038064956665, 'logits/rejected': -2.7150168418884277, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 434.478271484375, 'beta_dpo/beta_margin_mean': 0.4344782829284668, 'beta_dpo/beta_margin_std': 0.3340926766395569, 'beta_dpo/beta_margin_grad_mean': -0.3962554335594177, 'beta_dpo/beta_margin_grad_std': 0.07508466392755508, 'epoch': 0.8}
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|
80%|███████████████████████████████████████████████████████████████████████████████████████████▋ | 548/681 [32:44<05:36, 2.53s/it]
81%|███████████████████████████████████████████████████████████████████████████████████████████▉ | 549/681 [32:47<05:25, 2.46s/it]
{'loss': 1.1066, 'grad_norm': 27.266035079956055, 'learning_rate': 5.603696935852426e-08, 'beta_dpo/gap_mean': 403.1805419921875, 'beta_dpo/gap_std': 359.09490966796875, 'beta_dpo/beta_used_raw': -4.80178689956665, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6075119972229004, 'logits/rejected': -2.672619342803955, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 338.41912841796875, 'beta_dpo/beta_margin_mean': 0.3384191393852234, 'beta_dpo/beta_margin_std': 0.33370572328567505, 'beta_dpo/beta_margin_grad_mean': -0.41863563656806946, 'beta_dpo/beta_margin_grad_std': 0.07815483957529068, 'epoch': 0.81}
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|
81%|███████████████████████████████████████████████████████████████████████████████████████████▉ | 549/681 [32:47<05:25, 2.46s/it]
81%|████████████████████████████████████████████████████████████████████████████████████████████ | 550/681 [32:49<05:28, 2.51s/it]
{'loss': 21.6382, 'grad_norm': 23331.697265625, 'learning_rate': 5.5229856368582376e-08, 'beta_dpo/gap_mean': 404.16845703125, 'beta_dpo/gap_std': 352.69635009765625, 'beta_dpo/beta_used_raw': 0.7292245626449585, 'beta_dpo/beta_used': 1.0455665588378906, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.585789680480957, 'logits/rejected': -2.6722607612609863, 'beta_dpo/beta': 1.0455665588378906, 'beta_dpo/loss_margin_mean': 419.5482177734375, 'beta_dpo/beta_margin_mean': 477.6100769042969, 'beta_dpo/beta_margin_std': 690.04931640625, 'beta_dpo/beta_margin_grad_mean': -0.2663308084011078, 'beta_dpo/beta_margin_grad_std': 0.2776106595993042, 'epoch': 0.81}
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|
81%|████████████████████████████████████████████████████████████████████████████████████████████ | 550/681 [32:49<05:28, 2.51s/it]
81%|████████████████████████████████████████████████████████████████████████████████████████████▏ | 551/681 [32:52<05:21, 2.47s/it]
{'loss': 40.5927, 'grad_norm': 50141.44140625, 'learning_rate': 5.4427875753062734e-08, 'beta_dpo/gap_mean': 412.00518798828125, 'beta_dpo/gap_std': 351.75830078125, 'beta_dpo/beta_used_raw': 2.5201354026794434, 'beta_dpo/beta_used': 2.5201354026794434, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.585766553878784, 'logits/rejected': -2.6833677291870117, 'beta_dpo/beta': 2.5201354026794434, 'beta_dpo/loss_margin_mean': 468.22454833984375, 'beta_dpo/beta_margin_mean': 1171.402099609375, 'beta_dpo/beta_margin_std': 1031.3978271484375, 'beta_dpo/beta_margin_grad_mean': -0.078125, 'beta_dpo/beta_margin_grad_std': 0.2683681845664978, 'epoch': 0.81}
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|
|
81%|████████████████████████████████████████████████████████████████████████████████████████████▏ | 551/681 [32:52<05:21, 2.47s/it]
81%|████████████████████████████████████████████████████████████████████████████████████████████▍ | 552/681 [32:54<05:10, 2.41s/it]
{'loss': 0.0, 'grad_norm': 5.776141833273076e-18, 'learning_rate': 5.363104864490034e-08, 'beta_dpo/gap_mean': 425.93841552734375, 'beta_dpo/gap_std': 354.64801025390625, 'beta_dpo/beta_used_raw': 2.441541910171509, 'beta_dpo/beta_used': 2.441541910171509, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6029000282287598, 'logits/rejected': -2.7190818786621094, 'beta_dpo/beta': 2.441541910171509, 'beta_dpo/loss_margin_mean': 469.59014892578125, 'beta_dpo/beta_margin_mean': 1086.489013671875, 'beta_dpo/beta_margin_std': 1131.8115234375, 'beta_dpo/beta_margin_grad_mean': -0.0625, 'beta_dpo/beta_margin_grad_std': 0.24206146597862244, 'epoch': 0.81}
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|
81%|████████████████████████████████████████████████████████████████████████████████████████████▍ | 552/681 [32:54<05:10, 2.41s/it]
81%|████████████████████████████████████████████████████████████████████████████████████████████▌ | 553/681 [32:57<05:14, 2.46s/it]
{'loss': 1.0993, 'grad_norm': 38.534873962402344, 'learning_rate': 5.2839396041230415e-08, 'beta_dpo/gap_mean': 416.62200927734375, 'beta_dpo/gap_std': 366.66143798828125, 'beta_dpo/beta_used_raw': -5.028049945831299, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6273856163024902, 'logits/rejected': -2.6760740280151367, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 350.56597900390625, 'beta_dpo/beta_margin_mean': 0.35056599974632263, 'beta_dpo/beta_margin_std': 0.3956577479839325, 'beta_dpo/beta_margin_grad_mean': -0.4171546697616577, 'beta_dpo/beta_margin_grad_std': 0.08783596754074097, 'epoch': 0.81}
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|
|
81%|████████████████████████████████████████████████████████████████████████████████████████████▌ | 553/681 [32:57<05:14, 2.46s/it]
81%|████████████████████████████████████████████████████████████████████████████████████████████▋ | 554/681 [32:59<05:14, 2.48s/it]
{'loss': 1.1067, 'grad_norm': 1126.18505859375, 'learning_rate': 5.205293880283551e-08, 'beta_dpo/gap_mean': 408.51751708984375, 'beta_dpo/gap_std': 352.59368896484375, 'beta_dpo/beta_used_raw': 1.2997931241989136, 'beta_dpo/beta_used': 1.2997931241989136, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5999350547790527, 'logits/rejected': -2.641538143157959, 'beta_dpo/beta': 1.2997931241989136, 'beta_dpo/loss_margin_mean': 392.65533447265625, 'beta_dpo/beta_margin_mean': 508.1010437011719, 'beta_dpo/beta_margin_std': 419.82977294921875, 'beta_dpo/beta_margin_grad_mean': -0.109375, 'beta_dpo/beta_margin_grad_std': 0.3121091425418854, 'epoch': 0.81}
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|
|
81%|████████████████████████████████████████████████████████████████████████████████████████████▋ | 554/681 [32:59<05:14, 2.48s/it]
81%|████████████████████████████████████████████████████████████████████████████████████████████▉ | 555/681 [33:01<05:09, 2.46s/it]
{'loss': 1.0492, 'grad_norm': 34.80107116699219, 'learning_rate': 5.127169765359515e-08, 'beta_dpo/gap_mean': 418.3115234375, 'beta_dpo/gap_std': 359.09735107421875, 'beta_dpo/beta_used_raw': -1.4782108068466187, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5728185176849365, 'logits/rejected': -2.6831090450286865, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 484.5529479980469, 'beta_dpo/beta_margin_mean': 0.4845529794692993, 'beta_dpo/beta_margin_std': 0.4055006504058838, 'beta_dpo/beta_margin_grad_mean': -0.38637006282806396, 'beta_dpo/beta_margin_grad_std': 0.08780043572187424, 'epoch': 0.81}
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|
81%|████████████████████████████████████████████████████████████████████████████████████████████▉ | 555/681 [33:02<05:09, 2.46s/it]
82%|█████████████████████████████████████████████████████████████████████████████████████████████ | 556/681 [33:04<05:04, 2.43s/it]
{'loss': 0.8618, 'grad_norm': 9489.583984375, 'learning_rate': 5.049569317994012e-08, 'beta_dpo/gap_mean': 420.77178955078125, 'beta_dpo/gap_std': 361.7735595703125, 'beta_dpo/beta_used_raw': -0.14080658555030823, 'beta_dpo/beta_used': 0.1738041341304779, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5879225730895996, 'logits/rejected': -2.687049388885498, 'beta_dpo/beta': 0.1738041341304779, 'beta_dpo/loss_margin_mean': 409.55499267578125, 'beta_dpo/beta_margin_mean': 74.29708862304688, 'beta_dpo/beta_margin_std': 117.45230102539062, 'beta_dpo/beta_margin_grad_mean': -0.2653172016143799, 'beta_dpo/beta_margin_grad_std': 0.27693215012550354, 'epoch': 0.82}
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|
82%|█████████████████████████████████████████████████████████████████████████████████████████████ | 556/681 [33:04<05:04, 2.43s/it]
82%|█████████████████████████████████████████████████████████████████████████████████████████████▏ | 557/681 [33:06<05:04, 2.45s/it]
{'loss': 1.1225, 'grad_norm': 39387.4296875, 'learning_rate': 4.9724945830310144e-08, 'beta_dpo/gap_mean': 420.5530090332031, 'beta_dpo/gap_std': 363.3053283691406, 'beta_dpo/beta_used_raw': -2.254744052886963, 'beta_dpo/beta_used': 1.4377208948135376, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.614232063293457, 'logits/rejected': -2.698105812072754, 'beta_dpo/beta': 1.4377208948135376, 'beta_dpo/loss_margin_mean': 413.83026123046875, 'beta_dpo/beta_margin_mean': 662.1341552734375, 'beta_dpo/beta_margin_std': 1010.3662109375, 'beta_dpo/beta_margin_grad_mean': -0.2533913552761078, 'beta_dpo/beta_margin_grad_std': 0.26882457733154297, 'epoch': 0.82}
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|
|
82%|█████████████████████████████████████████████████████████████████████████████████████████████▏ | 557/681 [33:06<05:04, 2.45s/it]
82%|█████████████████████████████████████████████████████████████████████████████████████████████▍ | 558/681 [33:09<05:00, 2.44s/it]
{'loss': 0.5778, 'grad_norm': 42691.87109375, 'learning_rate': 4.8959475914614554e-08, 'beta_dpo/gap_mean': 433.89971923828125, 'beta_dpo/gap_std': 363.2912902832031, 'beta_dpo/beta_used_raw': 2.243035316467285, 'beta_dpo/beta_used': 2.3792362213134766, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.583843231201172, 'logits/rejected': -2.682178497314453, 'beta_dpo/beta': 2.3792362213134766, 'beta_dpo/loss_margin_mean': 526.4646606445312, 'beta_dpo/beta_margin_mean': 1273.4932861328125, 'beta_dpo/beta_margin_std': 1737.8341064453125, 'beta_dpo/beta_margin_grad_mean': -0.2171439528465271, 'beta_dpo/beta_margin_grad_std': 0.23049600422382355, 'epoch': 0.82}
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|
|
82%|█████████████████████████████████████████████████████████████████████████████████████████████▍ | 558/681 [33:09<05:00, 2.44s/it]
82%|█████████████████████████████████████████████████████████████████████████████████████████████▌ | 559/681 [33:11<04:58, 2.45s/it]
{'loss': 19.0269, 'grad_norm': 10755.6123046875, 'learning_rate': 4.8199303603697614e-08, 'beta_dpo/gap_mean': 435.0184326171875, 'beta_dpo/gap_std': 358.98150634765625, 'beta_dpo/beta_used_raw': -1.242068886756897, 'beta_dpo/beta_used': 0.7704762816429138, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5926883220672607, 'logits/rejected': -2.6858973503112793, 'beta_dpo/beta': 0.7704762816429138, 'beta_dpo/loss_margin_mean': 415.4324645996094, 'beta_dpo/beta_margin_mean': 319.6239013671875, 'beta_dpo/beta_margin_std': 505.88055419921875, 'beta_dpo/beta_margin_grad_mean': -0.26277267932891846, 'beta_dpo/beta_margin_grad_std': 0.2761915922164917, 'epoch': 0.82}
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|
82%|█████████████████████████████████████████████████████████████████████████████████████████████▌ | 559/681 [33:11<04:58, 2.45s/it]
82%|█████████████████████████████████████████████████████████████████████████████████████████████▋ | 560/681 [33:14<05:03, 2.51s/it]
{'loss': 1.0969, 'grad_norm': 30.960620880126953, 'learning_rate': 4.7444448928806615e-08, 'beta_dpo/gap_mean': 420.5264587402344, 'beta_dpo/gap_std': 349.8380126953125, 'beta_dpo/beta_used_raw': -5.194782257080078, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.601827621459961, 'logits/rejected': -2.647773265838623, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 347.4079895019531, 'beta_dpo/beta_margin_mean': 0.3474079966545105, 'beta_dpo/beta_margin_std': 0.30195000767707825, 'beta_dpo/beta_margin_grad_mean': -0.41588789224624634, 'beta_dpo/beta_margin_grad_std': 0.07136394083499908, 'epoch': 0.82}
|
|||
|
|
82%|█████████████████████████████████████████████████████████████████████████████████████████████▋ | 560/681 [33:14<05:03, 2.51s/it]
82%|█████████████████████████████████████████████████████████████████████████████████████████████▉ | 561/681 [33:16<05:03, 2.53s/it]
{'loss': 1.0767, 'grad_norm': 37.56061935424805, 'learning_rate': 4.669493178106432e-08, 'beta_dpo/gap_mean': 415.37933349609375, 'beta_dpo/gap_std': 348.2698974609375, 'beta_dpo/beta_used_raw': -3.459141254425049, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5700759887695312, 'logits/rejected': -2.675487995147705, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 417.53631591796875, 'beta_dpo/beta_margin_mean': 0.41753634810447693, 'beta_dpo/beta_margin_std': 0.37727662920951843, 'beta_dpo/beta_margin_grad_mean': -0.4009363651275635, 'beta_dpo/beta_margin_grad_std': 0.08546130359172821, 'epoch': 0.82}
|
|||
|
|
82%|█████████████████████████████████████████████████████████████████████████████████████████████▉ | 561/681 [33:16<05:03, 2.53s/it]
83%|██████████████████████████████████████████████████████████████████████████████████████████████ | 562/681 [33:19<05:01, 2.54s/it]
{'loss': 0.5656, 'grad_norm': 24.252979278564453, 'learning_rate': 4.5950771910944596e-08, 'beta_dpo/gap_mean': 425.248779296875, 'beta_dpo/gap_std': 348.01812744140625, 'beta_dpo/beta_used_raw': -3.710040330886841, 'beta_dpo/beta_used': 0.2502177059650421, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.571836233139038, 'logits/rejected': -2.639535427093506, 'beta_dpo/beta': 0.2502177059650421, 'beta_dpo/loss_margin_mean': 423.1015930175781, 'beta_dpo/beta_margin_mean': 141.0299835205078, 'beta_dpo/beta_margin_std': 179.341552734375, 'beta_dpo/beta_margin_grad_mean': -0.21572551131248474, 'beta_dpo/beta_margin_grad_std': 0.2213025540113449, 'epoch': 0.83}
|
|||
|
|
83%|██████████████████████████████████████████████████████████████████████████████████████████████ | 562/681 [33:19<05:01, 2.54s/it]
83%|██████████████████████████████████████████████████████████████████████████████████████████████▏ | 563/681 [33:22<04:59, 2.54s/it]
{'loss': 1.711, 'grad_norm': 2278.085205078125, 'learning_rate': 4.521198892775202e-08, 'beta_dpo/gap_mean': 400.4122314453125, 'beta_dpo/gap_std': 342.2979736328125, 'beta_dpo/beta_used_raw': -3.6815316677093506, 'beta_dpo/beta_used': 0.2640678286552429, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5583033561706543, 'logits/rejected': -2.625527858734131, 'beta_dpo/beta': 0.2640678286552429, 'beta_dpo/loss_margin_mean': 323.61669921875, 'beta_dpo/beta_margin_mean': 106.81857299804688, 'beta_dpo/beta_margin_std': 167.0647430419922, 'beta_dpo/beta_margin_grad_mean': -0.29870668053627014, 'beta_dpo/beta_margin_grad_std': 0.29806166887283325, 'epoch': 0.83}
|
|||
|
|
83%|██████████████████████████████████████████████████████████████████████████████████████████████▏ | 563/681 [33:22<04:59, 2.54s/it]
83%|██████████████████████████████████████████████████████████████████████████████████████████████▍ | 564/681 [33:24<04:53, 2.51s/it]
{'loss': 9.7535, 'grad_norm': 40077.27734375, 'learning_rate': 4.447860229910544e-08, 'beta_dpo/gap_mean': 404.2149658203125, 'beta_dpo/gap_std': 335.1101989746094, 'beta_dpo/beta_used_raw': 1.4716358184814453, 'beta_dpo/beta_used': 1.4716358184814453, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6260743141174316, 'logits/rejected': -2.693694591522217, 'beta_dpo/beta': 1.4716358184814453, 'beta_dpo/loss_margin_mean': 427.81158447265625, 'beta_dpo/beta_margin_mean': 640.9151611328125, 'beta_dpo/beta_margin_std': 831.071044921875, 'beta_dpo/beta_margin_grad_mean': -0.06238251551985741, 'beta_dpo/beta_margin_grad_std': 0.2377287596464157, 'epoch': 0.83}
|
|||
|
|
83%|██████████████████████████████████████████████████████████████████████████████████████████████▍ | 564/681 [33:24<04:53, 2.51s/it]
83%|██████████████████████████████████████████████████████████████████████████████████████████████▌ | 565/681 [33:26<04:42, 2.44s/it]
{'loss': 0.5359, 'grad_norm': 25.107654571533203, 'learning_rate': 4.375063135042445e-08, 'beta_dpo/gap_mean': 402.90283203125, 'beta_dpo/gap_std': 332.8077392578125, 'beta_dpo/beta_used_raw': 0.21367371082305908, 'beta_dpo/beta_used': 1.3616304397583008, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5877442359924316, 'logits/rejected': -2.6708731651306152, 'beta_dpo/beta': 1.3616304397583008, 'beta_dpo/loss_margin_mean': 384.8162841796875, 'beta_dpo/beta_margin_mean': 526.1046752929688, 'beta_dpo/beta_margin_std': 818.9513549804688, 'beta_dpo/beta_margin_grad_mean': -0.2510206699371338, 'beta_dpo/beta_margin_grad_std': 0.26485851407051086, 'epoch': 0.83}
|
|||
|
|
83%|██████████████████████████████████████████████████████████████████████████████████████████████▌ | 565/681 [33:26<04:42, 2.44s/it]
83%|██████████████████████████████████████████████████████████████████████████████████████████████▋ | 566/681 [33:29<04:44, 2.48s/it]
{'loss': 0.5761, 'grad_norm': 25.039459228515625, 'learning_rate': 4.3028095264420525e-08, 'beta_dpo/gap_mean': 405.11932373046875, 'beta_dpo/gap_std': 338.6856994628906, 'beta_dpo/beta_used_raw': -2.902581214904785, 'beta_dpo/beta_used': 1.1117289066314697, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.568953037261963, 'logits/rejected': -2.6582655906677246, 'beta_dpo/beta': 1.1117289066314697, 'beta_dpo/loss_margin_mean': 448.7620544433594, 'beta_dpo/beta_margin_mean': 586.4969482421875, 'beta_dpo/beta_margin_std': 798.0072631835938, 'beta_dpo/beta_margin_grad_mean': -0.20614933967590332, 'beta_dpo/beta_margin_grad_std': 0.21492846310138702, 'epoch': 0.83}
|
|||
|
|
83%|██████████████████████████████████████████████████████████████████████████████████████████████▋ | 566/681 [33:29<04:44, 2.48s/it]
83%|██████████████████████████████████████████████████████████████████████████████████████████████▉ | 567/681 [33:31<04:35, 2.42s/it]
{'loss': 0.5655, 'grad_norm': 17.503690719604492, 'learning_rate': 4.231101308059165e-08, 'beta_dpo/gap_mean': 407.5924072265625, 'beta_dpo/gap_std': 333.9209289550781, 'beta_dpo/beta_used_raw': -2.865267753601074, 'beta_dpo/beta_used': 0.7229585647583008, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.597644329071045, 'logits/rejected': -2.676164150238037, 'beta_dpo/beta': 0.7229585647583008, 'beta_dpo/loss_margin_mean': 388.1324768066406, 'beta_dpo/beta_margin_mean': 289.8537902832031, 'beta_dpo/beta_margin_std': 402.62164306640625, 'beta_dpo/beta_margin_grad_mean': -0.2360886186361313, 'beta_dpo/beta_margin_grad_std': 0.24904760718345642, 'epoch': 0.83}
|
|||
|
|
83%|██████████████████████████████████████████████████████████████████████████████████████████████▉ | 567/681 [33:31<04:35, 2.42s/it]
83%|███████████████████████████████████████████████████████████████████████████████████████████████ | 568/681 [33:33<04:29, 2.38s/it]
{'loss': 0.5296, 'grad_norm': 25.224254608154297, 'learning_rate': 4.1599403694720145e-08, 'beta_dpo/gap_mean': 412.0642395019531, 'beta_dpo/gap_std': 327.5071105957031, 'beta_dpo/beta_used_raw': 0.43433964252471924, 'beta_dpo/beta_used': 1.4946538209915161, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5394160747528076, 'logits/rejected': -2.6383776664733887, 'beta_dpo/beta': 1.4946538209915161, 'beta_dpo/loss_margin_mean': 429.1242370605469, 'beta_dpo/beta_margin_mean': 696.1226196289062, 'beta_dpo/beta_margin_std': 929.7108154296875, 'beta_dpo/beta_margin_grad_mean': -0.2185162454843521, 'beta_dpo/beta_margin_grad_std': 0.23013083636760712, 'epoch': 0.83}
|
|||
|
|
83%|███████████████████████████████████████████████████████████████████████████████████████████████ | 568/681 [33:33<04:29, 2.38s/it]
84%|███████████████████████████████████████████████████████████████████████████████████████████████▎ | 569/681 [33:36<04:33, 2.44s/it]
{'loss': 1.0865, 'grad_norm': 38.54376983642578, 'learning_rate': 4.089328585837512e-08, 'beta_dpo/gap_mean': 404.7514953613281, 'beta_dpo/gap_std': 331.2776794433594, 'beta_dpo/beta_used_raw': -3.51121187210083, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.577268123626709, 'logits/rejected': -2.6315019130706787, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 364.8987731933594, 'beta_dpo/beta_margin_mean': 0.36489877104759216, 'beta_dpo/beta_margin_std': 0.3362376391887665, 'beta_dpo/beta_margin_grad_mean': -0.4124916195869446, 'beta_dpo/beta_margin_grad_std': 0.07660473138093948, 'epoch': 0.84}
|
|||
|
|
84%|███████████████████████████████████████████████████████████████████████████████████████████████▎ | 569/681 [33:36<04:33, 2.44s/it]
84%|███████████████████████████████████████████████████████████████████████████████████████████████▍ | 570/681 [33:38<04:27, 2.41s/it]
{'loss': 1.0645, 'grad_norm': 30.418283462524414, 'learning_rate': 4.019267817841834e-08, 'beta_dpo/gap_mean': 402.11566162109375, 'beta_dpo/gap_std': 327.2163391113281, 'beta_dpo/beta_used_raw': -2.0776772499084473, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6355581283569336, 'logits/rejected': -2.698420286178589, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 387.6043395996094, 'beta_dpo/beta_margin_mean': 0.38760435581207275, 'beta_dpo/beta_margin_std': 0.30543091893196106, 'beta_dpo/beta_margin_grad_mean': -0.4066663384437561, 'beta_dpo/beta_margin_grad_std': 0.07038101553916931, 'epoch': 0.84}
|
|||
|
|
84%|███████████████████████████████████████████████████████████████████████████████████████████████▍ | 570/681 [33:38<04:27, 2.41s/it]
84%|███████████████████████████████████████████████████████████████████████████████████████████████▌ | 571/681 [33:41<04:23, 2.40s/it]
{'loss': 0.0, 'grad_norm': 0.0953197032213211, 'learning_rate': 3.9497599116513705e-08, 'beta_dpo/gap_mean': 413.31024169921875, 'beta_dpo/gap_std': 324.23162841796875, 'beta_dpo/beta_used_raw': 0.9894961714744568, 'beta_dpo/beta_used': 0.9894961714744568, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5648531913757324, 'logits/rejected': -2.6703522205352783, 'beta_dpo/beta': 0.9894961714744568, 'beta_dpo/loss_margin_mean': 487.08660888671875, 'beta_dpo/beta_margin_mean': 509.4083251953125, 'beta_dpo/beta_margin_std': 569.6787719726562, 'beta_dpo/beta_margin_grad_mean': -0.015625763684511185, 'beta_dpo/beta_margin_grad_std': 0.12401949614286423, 'epoch': 0.84}
|
|||
|
|
84%|███████████████████████████████████████████████████████████████████████████████████████████████▌ | 571/681 [33:41<04:23, 2.40s/it]
84%|███████████████████████████████████████████████████████████████████████████████████████████████▊ | 572/681 [33:43<04:22, 2.41s/it]
{'loss': 10.9273, 'grad_norm': 131773.4375, 'learning_rate': 3.880806698864086e-08, 'beta_dpo/gap_mean': 416.3902587890625, 'beta_dpo/gap_std': 328.5089111328125, 'beta_dpo/beta_used_raw': 1.8693180084228516, 'beta_dpo/beta_used': 2.384432792663574, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.548858642578125, 'logits/rejected': -2.6395535469055176, 'beta_dpo/beta': 2.384432792663574, 'beta_dpo/loss_margin_mean': 412.9160461425781, 'beta_dpo/beta_margin_mean': 1058.479736328125, 'beta_dpo/beta_margin_std': 1517.7403564453125, 'beta_dpo/beta_margin_grad_mean': -0.26681461930274963, 'beta_dpo/beta_margin_grad_std': 0.2802523076534271, 'epoch': 0.84}
|
|||
|
|
84%|███████████████████████████████████████████████████████████████████████████████████████████████▊ | 572/681 [33:43<04:22, 2.41s/it]
84%|███████████████████████████████████████████████████████████████████████████████████████████████▉ | 573/681 [33:46<04:20, 2.41s/it]
{'loss': 1.064, 'grad_norm': 31.714269638061523, 'learning_rate': 3.812409996461275e-08, 'beta_dpo/gap_mean': 408.19134521484375, 'beta_dpo/gap_std': 329.8096008300781, 'beta_dpo/beta_used_raw': -1.7826108932495117, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6157898902893066, 'logits/rejected': -2.681966781616211, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 372.8805847167969, 'beta_dpo/beta_margin_mean': 0.37288060784339905, 'beta_dpo/beta_margin_std': 0.32199469208717346, 'beta_dpo/beta_margin_grad_mean': -0.410361111164093, 'beta_dpo/beta_margin_grad_std': 0.0751841589808464, 'epoch': 0.84}
|
|||
|
|
84%|███████████████████████████████████████████████████████████████████████████████████████████████▉ | 573/681 [33:46<04:20, 2.41s/it]
84%|████████████████████████████████████████████████████████████████████████████████████████████████ | 574/681 [33:48<04:21, 2.44s/it]
{'loss': 0.5214, 'grad_norm': 21.132007598876953, 'learning_rate': 3.74457160675965e-08, 'beta_dpo/gap_mean': 412.53070068359375, 'beta_dpo/gap_std': 330.5635986328125, 'beta_dpo/beta_used_raw': 2.929409980773926, 'beta_dpo/beta_used': 3.0706517696380615, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6238203048706055, 'logits/rejected': -2.720996856689453, 'beta_dpo/beta': 3.0706517696380615, 'beta_dpo/loss_margin_mean': 460.5701904296875, 'beta_dpo/beta_margin_mean': 1551.0074462890625, 'beta_dpo/beta_margin_std': 2098.472900390625, 'beta_dpo/beta_margin_grad_mean': -0.23131898045539856, 'beta_dpo/beta_margin_grad_std': 0.2463950663805008, 'epoch': 0.84}
|
|||
|
|
84%|████████████████████████████████████████████████████████████████████████████████████████████████ | 574/681 [33:48<04:21, 2.44s/it]
84%|████████████████████████████████████████████████████████████████████████████████████████████████▎ | 575/681 [33:51<04:21, 2.47s/it]
{'loss': 1.0514, 'grad_norm': 36.160743713378906, 'learning_rate': 3.677293317363864e-08, 'beta_dpo/gap_mean': 423.2646484375, 'beta_dpo/gap_std': 333.3087463378906, 'beta_dpo/beta_used_raw': -1.8129258155822754, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5244140625, 'logits/rejected': -2.6159071922302246, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 467.2732849121094, 'beta_dpo/beta_margin_mean': 0.4672733247280121, 'beta_dpo/beta_margin_std': 0.37139537930488586, 'beta_dpo/beta_margin_grad_mean': -0.38933318853378296, 'beta_dpo/beta_margin_grad_std': 0.0830337256193161, 'epoch': 0.84}
|
|||
|
|
84%|████████████████████████████████████████████████████████████████████████████████████████████████▎ | 575/681 [33:51<04:21, 2.47s/it]
85%|████████████████████████████████████████████████████████████████████████████████████████████████▍ | 576/681 [33:53<04:15, 2.44s/it]
{'loss': 7.0247, 'grad_norm': 22067.658203125, 'learning_rate': 3.6105769011194224e-08, 'beta_dpo/gap_mean': 428.517578125, 'beta_dpo/gap_std': 351.6317443847656, 'beta_dpo/beta_used_raw': -2.2491068840026855, 'beta_dpo/beta_used': 0.7232588529586792, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6149516105651855, 'logits/rejected': -2.7341456413269043, 'beta_dpo/beta': 0.7232588529586792, 'beta_dpo/loss_margin_mean': 409.20550537109375, 'beta_dpo/beta_margin_mean': 359.212646484375, 'beta_dpo/beta_margin_std': 551.1680297851562, 'beta_dpo/beta_margin_grad_mean': -0.2747720777988434, 'beta_dpo/beta_margin_grad_std': 0.2860935628414154, 'epoch': 0.85}
|
|||
|
|
85%|████████████████████████████████████████████████████████████████████████████████████████████████▍ | 576/681 [33:53<04:15, 2.44s/it]
85%|████████████████████████████████████████████████████████████████████████████████████████████████▌ | 577/681 [33:55<04:10, 2.41s/it]
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|||
|
|
85%|████████████████████████████████████████████████████████████████████████████████████████████████▌ | 577/681 [33:55<04:10, 2.41s/it]
85%|████████████████████████████████████████████████████████████████████████████████████████████████▊ | 578/681 [33:58<04:07, 2.40s/it]
{'loss': 0.5284, 'grad_norm': 17.308809280395508, 'learning_rate': 3.478836705390808e-08, 'beta_dpo/gap_mean': 418.50299072265625, 'beta_dpo/gap_std': 338.3753662109375, 'beta_dpo/beta_used_raw': 0.5740838050842285, 'beta_dpo/beta_used': 1.4147895574569702, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5874085426330566, 'logits/rejected': -2.6705245971679688, 'beta_dpo/beta': 1.4147895574569702, 'beta_dpo/loss_margin_mean': 392.7145690917969, 'beta_dpo/beta_margin_mean': 697.8129272460938, 'beta_dpo/beta_margin_std': 934.8630981445312, 'beta_dpo/beta_margin_grad_mean': -0.23017671704292297, 'beta_dpo/beta_margin_grad_std': 0.24086488783359528, 'epoch': 0.85}
|
|||
|
|
85%|████████████████████████████████████████████████████████████████████████████████████████████████▊ | 578/681 [33:58<04:07, 2.40s/it]
85%|████████████████████████████████████████████████████████████████████████████████████████████████▉ | 579/681 [34:00<04:10, 2.46s/it]
{'loss': 1.064, 'grad_norm': 27.025897979736328, 'learning_rate': 3.41381639738331e-08, 'beta_dpo/gap_mean': 410.989501953125, 'beta_dpo/gap_std': 332.41058349609375, 'beta_dpo/beta_used_raw': -2.684361457824707, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.5982184410095215, 'logits/rejected': -2.6704506874084473, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 398.6763610839844, 'beta_dpo/beta_margin_mean': 0.39867639541625977, 'beta_dpo/beta_margin_std': 0.2885708808898926, 'beta_dpo/beta_margin_grad_mean': -0.4038708806037903, 'beta_dpo/beta_margin_grad_std': 0.06529239565134048, 'epoch': 0.85}
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|
|
85%|████████████████████████████████████████████████████████████████████████████████████████████████▉ | 579/681 [34:00<04:10, 2.46s/it]
85%|█████████████████████████████████████████████████████████████████████████████████████████████████ | 580/681 [34:03<04:05, 2.43s/it]
{'loss': 1.0811, 'grad_norm': 35.905391693115234, 'learning_rate': 3.349364905389032e-08, 'beta_dpo/gap_mean': 404.3271484375, 'beta_dpo/gap_std': 339.910888671875, 'beta_dpo/beta_used_raw': -3.0408852100372314, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6305480003356934, 'logits/rejected': -2.701788902282715, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 360.9212646484375, 'beta_dpo/beta_margin_mean': 0.36092129349708557, 'beta_dpo/beta_margin_std': 0.3993350863456726, 'beta_dpo/beta_margin_grad_mean': -0.4143833518028259, 'beta_dpo/beta_margin_grad_std': 0.09059581905603409, 'epoch': 0.85}
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|
|
85%|█████████████████████████████████████████████████████████████████████████████████████████████████ | 580/681 [34:03<04:05, 2.43s/it]
85%|█████████████████████████████████████████████████████████████████████████████████████████████████▎ | 581/681 [34:05<03:59, 2.39s/it]
{'loss': 0.5351, 'grad_norm': 18.974281311035156, 'learning_rate': 3.285483927764726e-08, 'beta_dpo/gap_mean': 399.22796630859375, 'beta_dpo/gap_std': 348.1463928222656, 'beta_dpo/beta_used_raw': 1.8317091464996338, 'beta_dpo/beta_used': 2.7418603897094727, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6319580078125, 'logits/rejected': -2.72849702835083, 'beta_dpo/beta': 2.7418603897094727, 'beta_dpo/loss_margin_mean': 397.565673828125, 'beta_dpo/beta_margin_mean': 1087.9808349609375, 'beta_dpo/beta_margin_std': 1690.84423828125, 'beta_dpo/beta_margin_grad_mean': -0.24978549778461456, 'beta_dpo/beta_margin_grad_std': 0.26566624641418457, 'epoch': 0.85}
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|
|
85%|█████████████████████████████████████████████████████████████████████████████████████████████████▎ | 581/681 [34:05<03:59, 2.39s/it]
85%|█████████████████████████████████████████████████████████████████████████████████████████████████▍ | 582/681 [34:07<03:58, 2.41s/it]
{'loss': 28.4446, 'grad_norm': 60133.34765625, 'learning_rate': 3.222175147833556e-08, 'beta_dpo/gap_mean': 401.3326416015625, 'beta_dpo/gap_std': 360.9919738769531, 'beta_dpo/beta_used_raw': 2.1622235774993896, 'beta_dpo/beta_used': 4.0522236824035645, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6616077423095703, 'logits/rejected': -2.7627522945404053, 'beta_dpo/beta': 4.0522236824035645, 'beta_dpo/loss_margin_mean': 435.0095520019531, 'beta_dpo/beta_margin_mean': 2030.54248046875, 'beta_dpo/beta_margin_std': 2940.37939453125, 'beta_dpo/beta_margin_grad_mean': -0.23803767561912537, 'beta_dpo/beta_margin_grad_std': 0.25662490725517273, 'epoch': 0.85}
|
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|
|
85%|█████████████████████████████████████████████████████████████████████████████████████████████████▍ | 582/681 [34:07<03:58, 2.41s/it]
86%|█████████████████████████████████████████████████████████████████████████████████████████████████▌ | 583/681 [34:10<04:00, 2.45s/it]
{'loss': 0.589, 'grad_norm': 24.137685775756836, 'learning_rate': 3.159440233840763e-08, 'beta_dpo/gap_mean': 404.298828125, 'beta_dpo/gap_std': 363.2397155761719, 'beta_dpo/beta_used_raw': -2.4300012588500977, 'beta_dpo/beta_used': 2.0656654834747314, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6524295806884766, 'logits/rejected': -2.708967685699463, 'beta_dpo/beta': 2.0656654834747314, 'beta_dpo/loss_margin_mean': 354.9598693847656, 'beta_dpo/beta_margin_mean': 971.8246459960938, 'beta_dpo/beta_margin_std': 1321.0806884765625, 'beta_dpo/beta_margin_grad_mean': -0.25362730026245117, 'beta_dpo/beta_margin_grad_std': 0.26769015192985535, 'epoch': 0.86}
|
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|
86%|█████████████████████████████████████████████████████████████████████████████████████████████████▌ | 583/681 [34:10<04:00, 2.45s/it]
86%|█████████████████████████████████████████████████████████████████████████████████████████████████▊ | 584/681 [34:12<03:55, 2.43s/it]
{'loss': 29.1861, 'grad_norm': 42800.1015625, 'learning_rate': 3.0972808389096635e-08, 'beta_dpo/gap_mean': 409.24481201171875, 'beta_dpo/gap_std': 357.03033447265625, 'beta_dpo/beta_used_raw': 3.7489781379699707, 'beta_dpo/beta_used': 3.7489781379699707, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6379153728485107, 'logits/rejected': -2.73630428314209, 'beta_dpo/beta': 3.7489781379699707, 'beta_dpo/loss_margin_mean': 484.4200134277344, 'beta_dpo/beta_margin_mean': 1806.1541748046875, 'beta_dpo/beta_margin_std': 1009.447021484375, 'beta_dpo/beta_margin_grad_mean': -0.03125, 'beta_dpo/beta_margin_grad_std': 0.17399263381958008, 'epoch': 0.86}
|
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|
|
86%|█████████████████████████████████████████████████████████████████████████████████████████████████▊ | 584/681 [34:12<03:55, 2.43s/it]
86%|█████████████████████████████████████████████████████████████████████████████████████████████████▉ | 585/681 [34:15<03:52, 2.43s/it]
{'loss': 0.5226, 'grad_norm': 190.09495544433594, 'learning_rate': 3.035698600998121e-08, 'beta_dpo/gap_mean': 416.50323486328125, 'beta_dpo/gap_std': 353.55279541015625, 'beta_dpo/beta_used_raw': 1.2730743885040283, 'beta_dpo/beta_used': 1.4875493049621582, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.620150566101074, 'logits/rejected': -2.7122976779937744, 'beta_dpo/beta': 1.4875493049621582, 'beta_dpo/loss_margin_mean': 440.5109558105469, 'beta_dpo/beta_margin_mean': 652.2798461914062, 'beta_dpo/beta_margin_std': 899.9537963867188, 'beta_dpo/beta_margin_grad_mean': -0.21340592205524445, 'beta_dpo/beta_margin_grad_std': 0.22890949249267578, 'epoch': 0.86}
|
|||
|
|
86%|█████████████████████████████████████████████████████████████████████████████████████████████████▉ | 585/681 [34:15<03:52, 2.43s/it]
86%|██████████████████████████████████████████████████████████████████████████████████████████████████ | 586/681 [34:17<03:51, 2.43s/it]
{'loss': 1.0402, 'grad_norm': 30.519203186035156, 'learning_rate': 2.974695142855388e-08, 'beta_dpo/gap_mean': 414.5293884277344, 'beta_dpo/gap_std': 352.2566833496094, 'beta_dpo/beta_used_raw': -0.403745174407959, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6606011390686035, 'logits/rejected': -2.7575459480285645, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 411.265625, 'beta_dpo/beta_margin_mean': 0.41126564145088196, 'beta_dpo/beta_margin_std': 0.3721611201763153, 'beta_dpo/beta_margin_grad_mean': -0.40226635336875916, 'beta_dpo/beta_margin_grad_std': 0.08389244973659515, 'epoch': 0.86}
|
|||
|
|
86%|██████████████████████████████████████████████████████████████████████████████████████████████████ | 586/681 [34:17<03:51, 2.43s/it]
86%|██████████████████████████████████████████████████████████████████████████████████████████████████▎ | 587/681 [34:20<03:49, 2.44s/it]
{'loss': 1.0746, 'grad_norm': 31.185678482055664, 'learning_rate': 2.9142720719793122e-08, 'beta_dpo/gap_mean': 414.48919677734375, 'beta_dpo/gap_std': 359.83526611328125, 'beta_dpo/beta_used_raw': -2.9087142944335938, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6660566329956055, 'logits/rejected': -2.7582545280456543, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 390.6094055175781, 'beta_dpo/beta_margin_mean': 0.3906094431877136, 'beta_dpo/beta_margin_std': 0.37780997157096863, 'beta_dpo/beta_margin_grad_mean': -0.4073527753353119, 'beta_dpo/beta_margin_grad_std': 0.08573532849550247, 'epoch': 0.86}
|
|||
|
|
86%|██████████████████████████████████████████████████████████████████████████████████████████████████▎ | 587/681 [34:20<03:49, 2.44s/it]
86%|██████████████████████████████████████████████████████████████████████████████████████████████████▍ | 588/681 [34:22<03:43, 2.40s/it]
{'loss': 0.5288, 'grad_norm': 156.63604736328125, 'learning_rate': 2.8544309805740018e-08, 'beta_dpo/gap_mean': 418.21356201171875, 'beta_dpo/gap_std': 369.077392578125, 'beta_dpo/beta_used_raw': 0.5301622748374939, 'beta_dpo/beta_used': 1.2841373682022095, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.622619152069092, 'logits/rejected': -2.741431951522827, 'beta_dpo/beta': 1.2841373682022095, 'beta_dpo/loss_margin_mean': 447.8412170410156, 'beta_dpo/beta_margin_mean': 613.1337890625, 'beta_dpo/beta_margin_std': 1012.4978637695312, 'beta_dpo/beta_margin_grad_mean': -0.24702578783035278, 'beta_dpo/beta_margin_grad_std': 0.26337432861328125, 'epoch': 0.86}
|
|||
|
|
86%|██████████████████████████████████████████████████████████████████████████████████████████████████▍ | 588/681 [34:22<03:43, 2.40s/it]
86%|██████████████████████████████████████████████████████████████████████████████████████████████████▌ | 589/681 [34:24<03:38, 2.38s/it]
{'loss': 19.9603, 'grad_norm': 21344.30859375, 'learning_rate': 2.7951734455078786e-08, 'beta_dpo/gap_mean': 424.3757629394531, 'beta_dpo/gap_std': 373.8643798828125, 'beta_dpo/beta_used_raw': 2.8131837844848633, 'beta_dpo/beta_used': 2.8131837844848633, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.665593147277832, 'logits/rejected': -2.7899739742279053, 'beta_dpo/beta': 2.8131837844848633, 'beta_dpo/loss_margin_mean': 476.1635437011719, 'beta_dpo/beta_margin_mean': 1222.51513671875, 'beta_dpo/beta_margin_std': 1587.3143310546875, 'beta_dpo/beta_margin_grad_mean': -0.15622615814208984, 'beta_dpo/beta_margin_grad_std': 0.3630368411540985, 'epoch': 0.86}
|
|||
|
|
86%|██████████████████████████████████████████████████████████████████████████████████████████████████▌ | 589/681 [34:24<03:38, 2.38s/it]
87%|██████████████████████████████████████████████████████████████████████████████████████████████████▊ | 590/681 [34:27<03:34, 2.35s/it]
{'loss': 4.8078, 'grad_norm': 12794.5634765625, 'learning_rate': 2.736501028272095e-08, 'beta_dpo/gap_mean': 432.82989501953125, 'beta_dpo/gap_std': 383.5555725097656, 'beta_dpo/beta_used_raw': -0.018486618995666504, 'beta_dpo/beta_used': 0.3272712528705597, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6336288452148438, 'logits/rejected': -2.7674968242645264, 'beta_dpo/beta': 0.3272712528705597, 'beta_dpo/loss_margin_mean': 477.1200256347656, 'beta_dpo/beta_margin_mean': 128.85853576660156, 'beta_dpo/beta_margin_std': 206.27391052246094, 'beta_dpo/beta_margin_grad_mean': -0.24900765717029572, 'beta_dpo/beta_margin_grad_std': 0.27214398980140686, 'epoch': 0.87}
|
|||
|
|
87%|██████████████████████████████████████████████████████████████████████████████████████████████████▊ | 590/681 [34:27<03:34, 2.35s/it]
87%|██████████████████████████████████████████████████████████████████████████████████████████████████▉ | 591/681 [34:29<03:32, 2.36s/it]
{'loss': 0.5106, 'grad_norm': 21.35018539428711, 'learning_rate': 2.678415274939408e-08, 'beta_dpo/gap_mean': 437.3492126464844, 'beta_dpo/gap_std': 384.0495300292969, 'beta_dpo/beta_used_raw': 0.8892130255699158, 'beta_dpo/beta_used': 1.0653685331344604, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6317532062530518, 'logits/rejected': -2.708348512649536, 'beta_dpo/beta': 1.0653685331344604, 'beta_dpo/loss_margin_mean': 425.42724609375, 'beta_dpo/beta_margin_mean': 457.1188049316406, 'beta_dpo/beta_margin_std': 694.888916015625, 'beta_dpo/beta_margin_grad_mean': -0.24658845365047455, 'beta_dpo/beta_margin_grad_std': 0.2630532681941986, 'epoch': 0.87}
|
|||
|
|
87%|██████████████████████████████████████████████████████████████████████████████████████████████████▉ | 591/681 [34:29<03:32, 2.36s/it]
87%|███████████████████████████████████████████████████████████████████████████████████████████████████ | 592/681 [34:31<03:25, 2.30s/it]
{'loss': 1.0442, 'grad_norm': 33.770408630371094, 'learning_rate': 2.6209177161234442e-08, 'beta_dpo/gap_mean': 429.1395568847656, 'beta_dpo/gap_std': 375.99981689453125, 'beta_dpo/beta_used_raw': -1.6076627969741821, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.661647319793701, 'logits/rejected': -2.7471630573272705, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 385.77801513671875, 'beta_dpo/beta_margin_mean': 0.3857780396938324, 'beta_dpo/beta_margin_std': 0.328925758600235, 'beta_dpo/beta_margin_grad_mean': -0.4068998694419861, 'beta_dpo/beta_margin_grad_std': 0.07823016494512558, 'epoch': 0.87}
|
|||
|
|
87%|███████████████████████████████████████████████████████████████████████████████████████████████████ | 592/681 [34:31<03:25, 2.30s/it]
87%|███████████████████████████████████████████████████████████████████████████████████████████████████▎ | 593/681 [34:34<03:30, 2.39s/it]
{'loss': 1.0559, 'grad_norm': 36.524818420410156, 'learning_rate': 2.564009866938349e-08, 'beta_dpo/gap_mean': 407.1551513671875, 'beta_dpo/gap_std': 372.3304443359375, 'beta_dpo/beta_used_raw': -1.2156394720077515, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.611865997314453, 'logits/rejected': -2.6518046855926514, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 292.2646179199219, 'beta_dpo/beta_margin_mean': 0.2922646403312683, 'beta_dpo/beta_margin_std': 0.3565959632396698, 'beta_dpo/beta_margin_grad_mean': -0.4293622672557831, 'beta_dpo/beta_margin_grad_std': 0.08562355488538742, 'epoch': 0.87}
|
|||
|
|
87%|███████████████████████████████████████████████████████████████████████████████████████████████████▎ | 593/681 [34:34<03:30, 2.39s/it]
87%|███████████████████████████████████████████████████████████████████████████████████████████████████▍ | 594/681 [34:36<03:27, 2.38s/it]
{'loss': 0.5787, 'grad_norm': 34.29524612426758, 'learning_rate': 2.5076932269588708e-08, 'beta_dpo/gap_mean': 395.17657470703125, 'beta_dpo/gap_std': 363.5038146972656, 'beta_dpo/beta_used_raw': -2.808560848236084, 'beta_dpo/beta_used': 0.8479436039924622, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6745779514312744, 'logits/rejected': -2.7460973262786865, 'beta_dpo/beta': 0.8479436039924622, 'beta_dpo/loss_margin_mean': 389.0055847167969, 'beta_dpo/beta_margin_mean': 418.7370910644531, 'beta_dpo/beta_margin_std': 590.7848510742188, 'beta_dpo/beta_margin_grad_mean': -0.2311505377292633, 'beta_dpo/beta_margin_grad_std': 0.2402058094739914, 'epoch': 0.87}
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|
87%|███████████████████████████████████████████████████████████████████████████████████████████████████▍ | 594/681 [34:36<03:27, 2.38s/it]
87%|███████████████████████████████████████████████████████████████████████████████████████████████████▌ | 595/681 [34:39<03:30, 2.45s/it]
{'loss': 1.092, 'grad_norm': 24.00165557861328, 'learning_rate': 2.451969280180849e-08, 'beta_dpo/gap_mean': 399.8134765625, 'beta_dpo/gap_std': 366.6833190917969, 'beta_dpo/beta_used_raw': -3.7765114307403564, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.631199359893799, 'logits/rejected': -2.704611301422119, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 396.71905517578125, 'beta_dpo/beta_margin_mean': 0.3967190682888031, 'beta_dpo/beta_margin_std': 0.38002651929855347, 'beta_dpo/beta_margin_grad_mean': -0.40659037232398987, 'beta_dpo/beta_margin_grad_std': 0.08061845600605011, 'epoch': 0.87}
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|
|
87%|███████████████████████████████████████████████████████████████████████████████████████████████████▌ | 595/681 [34:39<03:30, 2.45s/it]
88%|███████████████████████████████████████████████████████████████████████████████████████████████████▊ | 596/681 [34:41<03:20, 2.36s/it]
{'loss': 1.0769, 'grad_norm': 7005.2744140625, 'learning_rate': 2.396839494982103e-08, 'beta_dpo/gap_mean': 392.48553466796875, 'beta_dpo/gap_std': 366.8974304199219, 'beta_dpo/beta_used_raw': -2.552454948425293, 'beta_dpo/beta_used': 0.2762553095817566, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6771159172058105, 'logits/rejected': -2.754608631134033, 'beta_dpo/beta': 0.2762553095817566, 'beta_dpo/loss_margin_mean': 365.7869873046875, 'beta_dpo/beta_margin_mean': 115.0361557006836, 'beta_dpo/beta_margin_std': 168.74607849121094, 'beta_dpo/beta_margin_grad_mean': -0.24379974603652954, 'beta_dpo/beta_margin_grad_std': 0.25649240612983704, 'epoch': 0.88}
|
|||
|
|
88%|███████████████████████████████████████████████████████████████████████████████████████████████████▊ | 596/681 [34:41<03:20, 2.36s/it]
88%|███████████████████████████████████████████████████████████████████████████████████████████████████▉ | 597/681 [34:43<03:20, 2.38s/it]
{'loss': 10.1259, 'grad_norm': 22720.951171875, 'learning_rate': 2.3423053240837514e-08, 'beta_dpo/gap_mean': 407.9326171875, 'beta_dpo/gap_std': 373.6595764160156, 'beta_dpo/beta_used_raw': -0.41350656747817993, 'beta_dpo/beta_used': 0.9559941291809082, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.669362783432007, 'logits/rejected': -2.770700693130493, 'beta_dpo/beta': 0.9559941291809082, 'beta_dpo/loss_margin_mean': 463.8984680175781, 'beta_dpo/beta_margin_mean': 528.5262451171875, 'beta_dpo/beta_margin_std': 805.1343383789062, 'beta_dpo/beta_margin_grad_mean': -0.2519912123680115, 'beta_dpo/beta_margin_grad_std': 0.26672062277793884, 'epoch': 0.88}
|
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|
|
88%|███████████████████████████████████████████████████████████████████████████████████████████████████▉ | 597/681 [34:43<03:20, 2.38s/it]
88%|████████████████████████████████████████████████████████████████████████████████████████████████████ | 598/681 [34:46<03:15, 2.36s/it]
{'loss': 0.5217, 'grad_norm': 26.368377685546875, 'learning_rate': 2.2883682045119062e-08, 'beta_dpo/gap_mean': 415.28436279296875, 'beta_dpo/gap_std': 379.65228271484375, 'beta_dpo/beta_used_raw': 3.8194849491119385, 'beta_dpo/beta_used': 3.963083267211914, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6603126525878906, 'logits/rejected': -2.7383084297180176, 'beta_dpo/beta': 3.963083267211914, 'beta_dpo/loss_margin_mean': 428.660400390625, 'beta_dpo/beta_margin_mean': 2212.566650390625, 'beta_dpo/beta_margin_std': 3305.775634765625, 'beta_dpo/beta_margin_grad_mean': -0.24513758718967438, 'beta_dpo/beta_margin_grad_std': 0.25738582015037537, 'epoch': 0.88}
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|
|
88%|████████████████████████████████████████████████████████████████████████████████████████████████████ | 598/681 [34:46<03:15, 2.36s/it]
88%|████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 599/681 [34:48<03:17, 2.40s/it]
{'loss': 1.0483, 'grad_norm': 25.34820556640625, 'learning_rate': 2.2350295575598367e-08, 'beta_dpo/gap_mean': 409.6473388671875, 'beta_dpo/gap_std': 375.72576904296875, 'beta_dpo/beta_used_raw': -0.9786413908004761, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.662172317504883, 'logits/rejected': -2.7468762397766113, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 396.09075927734375, 'beta_dpo/beta_margin_mean': 0.3960907757282257, 'beta_dpo/beta_margin_std': 0.3420655429363251, 'beta_dpo/beta_margin_grad_mean': -0.40531477332115173, 'beta_dpo/beta_margin_grad_std': 0.07651591300964355, 'epoch': 0.88}
|
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|
|
88%|████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 599/681 [34:48<03:17, 2.40s/it]
88%|████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 600/681 [34:50<03:14, 2.41s/it]
{'loss': 0.5388, 'grad_norm': 21.900676727294922, 'learning_rate': 2.1822907887504932e-08, 'beta_dpo/gap_mean': 404.39202880859375, 'beta_dpo/gap_std': 360.17938232421875, 'beta_dpo/beta_used_raw': -0.8385080099105835, 'beta_dpo/beta_used': 0.6657280325889587, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.691469669342041, 'logits/rejected': -2.772876262664795, 'beta_dpo/beta': 0.6657280325889587, 'beta_dpo/loss_margin_mean': 396.5282287597656, 'beta_dpo/beta_margin_mean': 258.60589599609375, 'beta_dpo/beta_margin_std': 383.517333984375, 'beta_dpo/beta_margin_grad_mean': -0.2325766235589981, 'beta_dpo/beta_margin_grad_std': 0.24632975459098816, 'epoch': 0.88}
|
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|
88%|████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 600/681 [34:50<03:14, 2.41s/it][INFO|trainer.py:4307] 2026-04-18 06:40:35,049 >>
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|
***** Running Evaluation *****
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[INFO|trainer.py:4309] 2026-04-18 06:40:35,050 >> Num examples = 2339
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[INFO|trainer.py:4312] 2026-04-18 06:40:35,050 >> Batch size = 8
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30%|██████████████████████████████████▉ | 22/73 [00:11<00:27, 1.85it/s][A
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32%|████████████████████████████████████▌ | 23/73 [00:11<00:26, 1.87it/s][A
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33%|██████████████████████████████████████▏ | 24/73 [00:12<00:25, 1.90it/s][A
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34%|███████████████████████████████████████▋ | 25/73 [00:12<00:25, 1.90it/s][A
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36%|█████████████████████████████████████████▎ | 26/73 [00:13<00:24, 1.94it/s][A
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37%|██████████████████████████████████████████▉ | 27/73 [00:13<00:22, 2.09it/s][A
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38%|████████████████████████████████████████████▍ | 28/73 [00:14<00:21, 2.08it/s][A
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40%|██████████████████████████████████████████████ | 29/73 [00:14<00:21, 2.04it/s][A
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41%|███████████████████████████████████████████████▋ | 30/73 [00:15<00:21, 2.00it/s][A
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42%|█████████████████████████████████████████████████▎ | 31/73 [00:15<00:21, 1.95it/s][A
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44%|██████████████████████████████████████████████████▊ | 32/73 [00:16<00:20, 1.97it/s][A
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45%|████████████████████████████████████████████████████▍ | 33/73 [00:16<00:20, 1.96it/s][A
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47%|██████████████████████████████████████████████████████ | 34/73 [00:17<00:19, 2.00it/s][A
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48%|███████████████████████████████████████████████████████▌ | 35/73 [00:17<00:19, 1.94it/s][A
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49%|█████████████████████████████████████████████████████████▏ | 36/73 [00:18<00:18, 1.95it/s][A
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51%|██████████████████████████████████████████████████████████▊ | 37/73 [00:18<00:18, 1.91it/s][A
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52%|████████████████████████████████████████████████████████████▍ | 38/73 [00:19<00:17, 1.97it/s][A
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53%|█████████████████████████████████████████████████████████████▉ | 39/73 [00:19<00:17, 1.95it/s][A
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55%|███████████████████████████████████████████████████████████████▌ | 40/73 [00:20<00:16, 1.96it/s][A
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56%|█████████████████████████████████████████████████████████████████▏ | 41/73 [00:20<00:16, 1.97it/s][A
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58%|██████████████████████████████████████████████████████████████████▋ | 42/73 [00:21<00:16, 1.93it/s][A
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59%|████████████████████████████████████████████████████████████████████▎ | 43/73 [00:21<00:15, 1.90it/s][A
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60%|█████████████████████████████████████████████████████████████████████▉ | 44/73 [00:22<00:15, 1.89it/s][A
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62%|███████████████████████████████████████████████████████████████████████▌ | 45/73 [00:22<00:15, 1.85it/s][A
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63%|█████████████████████████████████████████████████████████████████████████ | 46/73 [00:23<00:14, 1.90it/s][A
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64%|██████████████████████████████████████████████████████████████████████████▋ | 47/73 [00:23<00:13, 1.92it/s][A
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66%|████████████████████████████████████████████████████████████████████████████▎ | 48/73 [00:24<00:12, 1.97it/s][A
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67%|█████████████████████████████████████████████████████████████████████████████▊ | 49/73 [00:24<00:12, 1.91it/s][A
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68%|███████████████████████████████████████████████████████████████████████████████▍ | 50/73 [00:25<00:12, 1.89it/s][A
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71%|██████████████████████████████████████████████████████████████████████████████████▋ | 52/73 [00:26<00:11, 1.85it/s][A
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73%|████████████████████████████████████████████████████████████████████████████████████▏ | 53/73 [00:27<00:10, 1.97it/s][A
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75%|███████████████████████████████████████████████████████████████████████████████████████▍ | 55/73 [00:28<00:08, 2.05it/s][A
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77%|████████████████████████████████████████████████████████████████████████████████████████▉ | 56/73 [00:28<00:08, 1.99it/s][A
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78%|██████████████████████████████████████████████████████████████████████████████████████████▌ | 57/73 [00:29<00:08, 1.94it/s][A
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79%|████████████████████████████████████████████████████████████████████████████████████████████▏ | 58/73 [00:29<00:07, 1.96it/s][A
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81%|█████████████████████████████████████████████████████████████████████████████████████████████▊ | 59/73 [00:30<00:07, 1.90it/s][A
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82%|███████████████████████████████████████████████████████████████████████████████████████████████▎ | 60/73 [00:30<00:06, 1.90it/s][A
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84%|████████████████████████████████████████████████████████████████████████████████████████████████▉ | 61/73 [00:31<00:06, 1.90it/s][A
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85%|██████████████████████████████████████████████████████████████████████████████████████████████████▌ | 62/73 [00:31<00:05, 1.87it/s][A
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88%|█████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 64/73 [00:32<00:04, 1.95it/s][A
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89%|███████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 65/73 [00:33<00:04, 1.90it/s][A
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92%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 67/73 [00:34<00:03, 1.89it/s][A
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93%|████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 68/73 [00:34<00:02, 1.89it/s][A
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95%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 69/73 [00:35<00:01, 2.00it/s][A
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96%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 70/73 [00:35<00:01, 1.94it/s][A
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97%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 71/73 [00:36<00:01, 1.93it/s][A
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99%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 72/73 [00:36<00:00, 1.91it/s][A
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100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 73/73 [00:37<00:00, 2.03it/s][A
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[A{'eval_loss': 0.6014874577522278, 'eval_runtime': 37.9176, 'eval_samples_per_second': 61.686, 'eval_steps_per_second': 1.952, 'eval_beta_dpo/beta': 0.0010000000474974513, 'eval_beta_dpo/loss_margin_mean': 243.40426635742188, 'eval_beta_dpo/beta_margin_mean': 0.24340428411960602, 'eval_beta_dpo/beta_margin_std': 0.4217238128185272, 'eval_beta_dpo/beta_margin_grad_mean': -0.44217321276664734, 'eval_beta_dpo/beta_margin_grad_std': 0.09827572852373123, 'eval_beta_dpo/gap_mean': 404.4036560058594, 'eval_beta_dpo/gap_std': 357.40692138671875, 'eval_beta_dpo/beta_used_raw': -9.559965133666992, 'eval_beta_dpo/beta_used': 0.0010000000474974513, 'eval_beta_dpo/mask_keep_frac': 1.0, 'eval_logits/chosen': -2.781342029571533, 'eval_logits/rejected': -2.8108348846435547, 'epoch': 0.88}
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88%|████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 600/681 [35:28<03:14, 2.41s/it]
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100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 73/73 [00:37<00:00, 2.03it/s][A
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[A[INFO|trainer.py:3984] 2026-04-18 06:41:27,131 >> Saving model checkpoint to /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-600
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[INFO|configuration_utils.py:419] 2026-04-18 06:41:27,139 >> Configuration saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-600/config.json
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[INFO|configuration_utils.py:911] 2026-04-18 06:41:27,147 >> Configuration saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-600/generation_config.json
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[INFO|modeling_utils.py:3580] 2026-04-18 06:42:06,682 >> The model is bigger than the maximum size per checkpoint (5GB) and is going to be split in 6 checkpoint shards. You can find where each parameters has been saved in the index located at /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-600/model.safetensors.index.json.
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[INFO|tokenization_utils_base.py:2510] 2026-04-18 06:42:06,695 >> tokenizer config file saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-600/tokenizer_config.json
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[INFO|tokenization_utils_base.py:2519] 2026-04-18 06:42:06,700 >> Special tokens file saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-600/special_tokens_map.json
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[INFO|trainer.py:4083] 2026-04-18 06:44:44,805 >> Deleting older checkpoint [/scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-200] due to args.save_total_limit
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88%|██████████████████████████████████████████████████████████████████████████████████████████████████▊ | 601/681 [39:04<1:43:44, 77.80s/it]
{'loss': 73.7058, 'grad_norm': 115072.109375, 'learning_rate': 2.1301532877994742e-08, 'beta_dpo/gap_mean': 407.78009033203125, 'beta_dpo/gap_std': 361.7393798828125, 'beta_dpo/beta_used_raw': 3.2707443237304688, 'beta_dpo/beta_used': 3.2707443237304688, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.629629611968994, 'logits/rejected': -2.7460412979125977, 'beta_dpo/beta': 3.2707443237304688, 'beta_dpo/loss_margin_mean': 442.43011474609375, 'beta_dpo/beta_margin_mean': 1377.1533203125, 'beta_dpo/beta_margin_std': 1483.408203125, 'beta_dpo/beta_margin_grad_mean': -0.1272067278623581, 'beta_dpo/beta_margin_grad_std': 0.3303484618663788, 'epoch': 0.88}
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88%|██████████████████████████████████████████████████████████████████████████████████████████████████▊ | 601/681 [39:04<1:43:44, 77.80s/it]
88%|███████████████████████████████████████████████████████████████████████████████████████████████████ | 602/681 [39:07<1:12:42, 55.22s/it]
{'loss': 0.5206, 'grad_norm': 17.351716995239258, 'learning_rate': 2.0786184285784298e-08, 'beta_dpo/gap_mean': 418.2040100097656, 'beta_dpo/gap_std': 355.448486328125, 'beta_dpo/beta_used_raw': 0.1565786600112915, 'beta_dpo/beta_used': 0.6206492781639099, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.7129225730895996, 'logits/rejected': -2.8077144622802734, 'beta_dpo/beta': 0.6206492781639099, 'beta_dpo/loss_margin_mean': 467.5210876464844, 'beta_dpo/beta_margin_mean': 263.51983642578125, 'beta_dpo/beta_margin_std': 366.13446044921875, 'beta_dpo/beta_margin_grad_mean': -0.23634099960327148, 'beta_dpo/beta_margin_grad_std': 0.25701799988746643, 'epoch': 0.88}
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88%|███████████████████████████████████████████████████████████████████████████████████████████████████ | 602/681 [39:07<1:12:42, 55.22s/it]
89%|████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 603/681 [39:09<51:14, 39.42s/it]
{'loss': 1.0665, 'grad_norm': 28.13165283203125, 'learning_rate': 2.0276875690788204e-08, 'beta_dpo/gap_mean': 419.609375, 'beta_dpo/gap_std': 357.5216064453125, 'beta_dpo/beta_used_raw': -2.66328501701355, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.724299430847168, 'logits/rejected': -2.7903506755828857, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 395.21722412109375, 'beta_dpo/beta_margin_mean': 0.39521723985671997, 'beta_dpo/beta_margin_std': 0.362171471118927, 'beta_dpo/beta_margin_grad_mean': -0.40567564964294434, 'beta_dpo/beta_margin_grad_std': 0.08365360647439957, 'epoch': 0.89}
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89%|████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 603/681 [39:09<51:14, 39.42s/it]
89%|█████████████████████████████████████████████████████████████████████████████████████████████████████ | 604/681 [39:12<36:23, 28.36s/it]
{'loss': 1.0659, 'grad_norm': 29.62197494506836, 'learning_rate': 1.977362051376158e-08, 'beta_dpo/gap_mean': 422.8662109375, 'beta_dpo/gap_std': 361.38897705078125, 'beta_dpo/beta_used_raw': -3.187976598739624, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.675366163253784, 'logits/rejected': -2.7828691005706787, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 455.00048828125, 'beta_dpo/beta_margin_mean': 0.45500051975250244, 'beta_dpo/beta_margin_std': 0.4009777903556824, 'beta_dpo/beta_margin_grad_mean': -0.39339369535446167, 'beta_dpo/beta_margin_grad_std': 0.08459168672561646, 'epoch': 0.89}
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89%|█████████████████████████████████████████████████████████████████████████████████████████████████████ | 604/681 [39:12<36:23, 28.36s/it]
89%|█████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 605/681 [39:14<26:06, 20.61s/it]
{'loss': 1.061, 'grad_norm': 26.918848037719727, 'learning_rate': 1.9276432015946446e-08, 'beta_dpo/gap_mean': 425.74029541015625, 'beta_dpo/gap_std': 377.2355651855469, 'beta_dpo/beta_used_raw': -2.5361804962158203, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.671755790710449, 'logits/rejected': -2.7664794921875, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 429.46240234375, 'beta_dpo/beta_margin_mean': 0.4294624328613281, 'beta_dpo/beta_margin_std': 0.4166560769081116, 'beta_dpo/beta_margin_grad_mean': -0.3992781937122345, 'beta_dpo/beta_margin_grad_std': 0.09205874055624008, 'epoch': 0.89}
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89%|█████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 605/681 [39:14<26:06, 20.61s/it]
89%|█████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 606/681 [39:17<18:56, 15.16s/it]
{'loss': 2.9883, 'grad_norm': 2858.609375, 'learning_rate': 1.8785323298722093e-08, 'beta_dpo/gap_mean': 419.8639221191406, 'beta_dpo/gap_std': 381.78704833984375, 'beta_dpo/beta_used_raw': -0.09920136630535126, 'beta_dpo/beta_used': 0.22745679318904877, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6562769412994385, 'logits/rejected': -2.7424442768096924, 'beta_dpo/beta': 0.22745679318904877, 'beta_dpo/loss_margin_mean': 393.2106018066406, 'beta_dpo/beta_margin_mean': 94.71522521972656, 'beta_dpo/beta_margin_std': 168.86326599121094, 'beta_dpo/beta_margin_grad_mean': -0.2854154407978058, 'beta_dpo/beta_margin_grad_std': 0.29264795780181885, 'epoch': 0.89}
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89%|█████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 606/681 [39:17<18:56, 15.16s/it]
89%|█████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 607/681 [39:19<13:58, 11.32s/it]
{'loss': 13.9436, 'grad_norm': 22962.126953125, 'learning_rate': 1.8300307303259904e-08, 'beta_dpo/gap_mean': 408.81640625, 'beta_dpo/gap_std': 380.6749572753906, 'beta_dpo/beta_used_raw': -0.1976158618927002, 'beta_dpo/beta_used': 1.7348406314849854, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.70379900932312, 'logits/rejected': -2.7581634521484375, 'beta_dpo/beta': 1.7348406314849854, 'beta_dpo/loss_margin_mean': 353.4035949707031, 'beta_dpo/beta_margin_mean': 661.6439819335938, 'beta_dpo/beta_margin_std': 1191.2918701171875, 'beta_dpo/beta_margin_grad_mean': -0.27311357855796814, 'beta_dpo/beta_margin_grad_std': 0.28208261728286743, 'epoch': 0.89}
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89%|█████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 607/681 [39:19<13:58, 11.32s/it]
89%|█████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 608/681 [39:22<10:32, 8.66s/it]
{'loss': 1.0452, 'grad_norm': 33.10684585571289, 'learning_rate': 1.7821396810182437e-08, 'beta_dpo/gap_mean': 413.77947998046875, 'beta_dpo/gap_std': 373.3118896484375, 'beta_dpo/beta_used_raw': -1.0561343431472778, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6324472427368164, 'logits/rejected': -2.7429165840148926, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 456.9474182128906, 'beta_dpo/beta_margin_mean': 0.4569474458694458, 'beta_dpo/beta_margin_std': 0.328748881816864, 'beta_dpo/beta_margin_grad_mean': -0.39080411195755005, 'beta_dpo/beta_margin_grad_std': 0.07455727458000183, 'epoch': 0.89}
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89%|█████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 608/681 [39:22<10:32, 8.66s/it]
89%|█████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 609/681 [39:24<08:10, 6.81s/it]
{'loss': 1.0498, 'grad_norm': 32.35358810424805, 'learning_rate': 1.7348604439226617e-08, 'beta_dpo/gap_mean': 418.79693603515625, 'beta_dpo/gap_std': 365.2125244140625, 'beta_dpo/beta_used_raw': -1.2443511486053467, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6647348403930664, 'logits/rejected': -2.755319595336914, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 432.449951171875, 'beta_dpo/beta_margin_mean': 0.43244999647140503, 'beta_dpo/beta_margin_std': 0.3281441330909729, 'beta_dpo/beta_margin_grad_mean': -0.39637741446495056, 'beta_dpo/beta_margin_grad_std': 0.07506369054317474, 'epoch': 0.89}
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89%|█████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 609/681 [39:24<08:10, 6.81s/it]
90%|██████████████████████████████████████████████████████████████████████████████████████████████████████ | 610/681 [39:27<06:30, 5.51s/it]
{'loss': 2.1845, 'grad_norm': 11989.935546875, 'learning_rate': 1.6881942648911074e-08, 'beta_dpo/gap_mean': 417.583740234375, 'beta_dpo/gap_std': 368.72650146484375, 'beta_dpo/beta_used_raw': 0.5392435193061829, 'beta_dpo/beta_used': 0.5392435193061829, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.679978370666504, 'logits/rejected': -2.7630457878112793, 'beta_dpo/beta': 0.5392435193061829, 'beta_dpo/loss_margin_mean': 401.9151916503906, 'beta_dpo/beta_margin_mean': 214.91415405273438, 'beta_dpo/beta_margin_std': 323.2533874511719, 'beta_dpo/beta_margin_grad_mean': -0.13582731783390045, 'beta_dpo/beta_margin_grad_std': 0.33346015214920044, 'epoch': 0.9}
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90%|██████████████████████████████████████████████████████████████████████████████████████████████████████ | 610/681 [39:27<06:30, 5.51s/it]
90%|██████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 611/681 [39:29<05:27, 4.67s/it]
{'loss': 16.8196, 'grad_norm': 32357.361328125, 'learning_rate': 1.6421423736208e-08, 'beta_dpo/gap_mean': 409.5821838378906, 'beta_dpo/gap_std': 377.1724853515625, 'beta_dpo/beta_used_raw': -1.0866873264312744, 'beta_dpo/beta_used': 0.9980809688568115, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6723227500915527, 'logits/rejected': -2.769993305206299, 'beta_dpo/beta': 0.9980809688568115, 'beta_dpo/loss_margin_mean': 410.0389709472656, 'beta_dpo/beta_margin_mean': 542.123046875, 'beta_dpo/beta_margin_std': 784.00927734375, 'beta_dpo/beta_margin_grad_mean': -0.24803996086120605, 'beta_dpo/beta_margin_grad_std': 0.261429101228714, 'epoch': 0.9}
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90%|██████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 611/681 [39:29<05:27, 4.67s/it]
90%|██████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 612/681 [39:32<04:36, 4.01s/it]
{'loss': 96.682, 'grad_norm': 61496.91796875, 'learning_rate': 1.5967059836219042e-08, 'beta_dpo/gap_mean': 418.91546630859375, 'beta_dpo/gap_std': 378.8981628417969, 'beta_dpo/beta_used_raw': -0.5901319980621338, 'beta_dpo/beta_used': 2.3185596466064453, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6705970764160156, 'logits/rejected': -2.763137102127075, 'beta_dpo/beta': 2.3185596466064453, 'beta_dpo/loss_margin_mean': 448.5855407714844, 'beta_dpo/beta_margin_mean': 1160.555908203125, 'beta_dpo/beta_margin_std': 1747.4896240234375, 'beta_dpo/beta_margin_grad_mean': -0.23413825035095215, 'beta_dpo/beta_margin_grad_std': 0.24901816248893738, 'epoch': 0.9}
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90%|██████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 612/681 [39:32<04:36, 4.01s/it]
90%|██████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 613/681 [39:34<04:02, 3.56s/it]
{'loss': 0.5219, 'grad_norm': 18.278871536254883, 'learning_rate': 1.551886292185553e-08, 'beta_dpo/gap_mean': 433.0877685546875, 'beta_dpo/gap_std': 376.868408203125, 'beta_dpo/beta_used_raw': 1.5588773488998413, 'beta_dpo/beta_used': 2.020970344543457, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6771979331970215, 'logits/rejected': -2.7864818572998047, 'beta_dpo/beta': 2.020970344543457, 'beta_dpo/loss_margin_mean': 500.5608825683594, 'beta_dpo/beta_margin_mean': 1071.8077392578125, 'beta_dpo/beta_margin_std': 1328.2359619140625, 'beta_dpo/beta_margin_grad_mean': -0.19436858594417572, 'beta_dpo/beta_margin_grad_std': 0.20417682826519012, 'epoch': 0.9}
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90%|██████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 613/681 [39:34<04:02, 3.56s/it]
90%|██████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 614/681 [39:37<03:37, 3.25s/it]
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|
|||
|
|
90%|██████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 614/681 [39:37<03:37, 3.25s/it]
90%|██████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 615/681 [39:39<03:22, 3.07s/it]
{'loss': 1.0597, 'grad_norm': 32.88970184326172, 'learning_rate': 1.4641017128809801e-08, 'beta_dpo/gap_mean': 434.8990173339844, 'beta_dpo/gap_std': 375.1392822265625, 'beta_dpo/beta_used_raw': -2.9845547676086426, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6823935508728027, 'logits/rejected': -2.760178327560425, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 405.1518859863281, 'beta_dpo/beta_margin_mean': 0.405151903629303, 'beta_dpo/beta_margin_std': 0.404344379901886, 'beta_dpo/beta_margin_grad_mean': -0.40423691272735596, 'beta_dpo/beta_margin_grad_std': 0.09169073402881622, 'epoch': 0.9}
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|||
|
|
90%|██████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 615/681 [39:39<03:22, 3.07s/it]
90%|███████████████████████████████████████████████████████████████████████████████████████████████████████ | 616/681 [39:42<03:06, 2.87s/it]
{'loss': 1.125, 'grad_norm': 30.849700927734375, 'learning_rate': 1.4211391382180637e-08, 'beta_dpo/gap_mean': 418.6253662109375, 'beta_dpo/gap_std': 380.8779296875, 'beta_dpo/beta_used_raw': -6.70911169052124, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.723806381225586, 'logits/rejected': -2.776388168334961, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 324.9549255371094, 'beta_dpo/beta_margin_mean': 0.32495495676994324, 'beta_dpo/beta_margin_std': 0.4116884171962738, 'beta_dpo/beta_margin_grad_mean': -0.4224950969219208, 'beta_dpo/beta_margin_grad_std': 0.09631507843732834, 'epoch': 0.9}
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|
90%|███████████████████████████████████████████████████████████████████████████████████████████████████████ | 616/681 [39:42<03:06, 2.87s/it]
91%|███████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 617/681 [39:44<02:59, 2.80s/it]
{'loss': 1.1238, 'grad_norm': 39.271549224853516, 'learning_rate': 1.378797888467345e-08, 'beta_dpo/gap_mean': 394.8181457519531, 'beta_dpo/gap_std': 384.7374267578125, 'beta_dpo/beta_used_raw': -5.807326793670654, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.678978443145752, 'logits/rejected': -2.696861982345581, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 281.0326232910156, 'beta_dpo/beta_margin_mean': 0.28103265166282654, 'beta_dpo/beta_margin_std': 0.3670780658721924, 'beta_dpo/beta_margin_grad_mean': -0.43244972825050354, 'beta_dpo/beta_margin_grad_std': 0.0854559987783432, 'epoch': 0.91}
|
|||
|
|
91%|███████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 617/681 [39:45<02:59, 2.80s/it]
91%|███████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 618/681 [39:47<02:50, 2.71s/it]
{'loss': 29.3627, 'grad_norm': 48797.57421875, 'learning_rate': 1.3370790793601371e-08, 'beta_dpo/gap_mean': 389.8605041503906, 'beta_dpo/gap_std': 387.74383544921875, 'beta_dpo/beta_used_raw': 2.9987692832946777, 'beta_dpo/beta_used': 3.199589967727661, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6983931064605713, 'logits/rejected': -2.777221918106079, 'beta_dpo/beta': 3.199589967727661, 'beta_dpo/loss_margin_mean': 414.118408203125, 'beta_dpo/beta_margin_mean': 1545.2900390625, 'beta_dpo/beta_margin_std': 2523.5302734375, 'beta_dpo/beta_margin_grad_mean': -0.255416601896286, 'beta_dpo/beta_margin_grad_std': 0.2696244418621063, 'epoch': 0.91}
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|
91%|███████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 618/681 [39:47<02:50, 2.71s/it]
91%|███████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 619/681 [39:50<02:45, 2.67s/it]
{'loss': 0.5328, 'grad_norm': 21.482271194458008, 'learning_rate': 1.2959838102258535e-08, 'beta_dpo/gap_mean': 402.82708740234375, 'beta_dpo/gap_std': 391.6029052734375, 'beta_dpo/beta_used_raw': 1.383022665977478, 'beta_dpo/beta_used': 1.616031527519226, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6790366172790527, 'logits/rejected': -2.7796411514282227, 'beta_dpo/beta': 1.616031527519226, 'beta_dpo/loss_margin_mean': 444.0133972167969, 'beta_dpo/beta_margin_mean': 684.386962890625, 'beta_dpo/beta_margin_std': 936.7298583984375, 'beta_dpo/beta_margin_grad_mean': -0.21139781177043915, 'beta_dpo/beta_margin_grad_std': 0.22920767962932587, 'epoch': 0.91}
|
|||
|
|
91%|███████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 619/681 [39:50<02:45, 2.67s/it]
91%|███████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 620/681 [39:52<02:37, 2.58s/it]
{'loss': 1.5936, 'grad_norm': 11751.0576171875, 'learning_rate': 1.2555131639630567e-08, 'beta_dpo/gap_mean': 396.19281005859375, 'beta_dpo/gap_std': 392.14300537109375, 'beta_dpo/beta_used_raw': -1.1368510723114014, 'beta_dpo/beta_used': 0.5794578790664673, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.7585866451263428, 'logits/rejected': -2.8155956268310547, 'beta_dpo/beta': 0.5794578790664673, 'beta_dpo/loss_margin_mean': 336.462646484375, 'beta_dpo/beta_margin_mean': 221.4326934814453, 'beta_dpo/beta_margin_std': 396.32781982421875, 'beta_dpo/beta_margin_grad_mean': -0.27765581011772156, 'beta_dpo/beta_margin_grad_std': 0.2895503342151642, 'epoch': 0.91}
|
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|
91%|███████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 620/681 [39:52<02:37, 2.58s/it]
91%|███████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 621/681 [39:54<02:32, 2.53s/it]
{'loss': 14.073, 'grad_norm': 31736.255859375, 'learning_rate': 1.2156682070109086e-08, 'beta_dpo/gap_mean': 396.5146789550781, 'beta_dpo/gap_std': 397.0887451171875, 'beta_dpo/beta_used_raw': 1.6563297510147095, 'beta_dpo/beta_used': 1.6563297510147095, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6869962215423584, 'logits/rejected': -2.7847015857696533, 'beta_dpo/beta': 1.6563297510147095, 'beta_dpo/loss_margin_mean': 447.8368225097656, 'beta_dpo/beta_margin_mean': 764.5799560546875, 'beta_dpo/beta_margin_std': 776.7243041992188, 'beta_dpo/beta_margin_grad_mean': -0.12106994539499283, 'beta_dpo/beta_margin_grad_std': 0.32161012291908264, 'epoch': 0.91}
|
|||
|
|
91%|███████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 621/681 [39:54<02:32, 2.53s/it]
91%|████████████████████████████████████████████████████████████████████████████████████████████████████████ | 622/681 [39:57<02:29, 2.54s/it]
{'loss': 1.1033, 'grad_norm': 31.479806900024414, 'learning_rate': 1.1764499893210878e-08, 'beta_dpo/gap_mean': 397.34625244140625, 'beta_dpo/gap_std': 393.946533203125, 'beta_dpo/beta_used_raw': -4.0101447105407715, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.645836353302002, 'logits/rejected': -2.7034900188446045, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 355.5622863769531, 'beta_dpo/beta_margin_mean': 0.355562299489975, 'beta_dpo/beta_margin_std': 0.34979644417762756, 'beta_dpo/beta_margin_grad_mean': -0.41488850116729736, 'beta_dpo/beta_margin_grad_std': 0.07999890297651291, 'epoch': 0.91}
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|
|
91%|████████████████████████████████████████████████████████████████████████████████████████████████████████ | 622/681 [39:57<02:29, 2.54s/it]
91%|████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 623/681 [39:59<02:25, 2.51s/it]
{'loss': 1.0963, 'grad_norm': 28.536666870117188, 'learning_rate': 1.1378595443300998e-08, 'beta_dpo/gap_mean': 391.07568359375, 'beta_dpo/gap_std': 391.4143981933594, 'beta_dpo/beta_used_raw': -3.0260062217712402, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.684234619140625, 'logits/rejected': -2.754396677017212, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 360.9658203125, 'beta_dpo/beta_margin_mean': 0.3609658181667328, 'beta_dpo/beta_margin_std': 0.39438700675964355, 'beta_dpo/beta_margin_grad_mean': -0.4140608608722687, 'beta_dpo/beta_margin_grad_std': 0.09136771410703659, 'epoch': 0.91}
|
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|
|
91%|████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 623/681 [39:59<02:25, 2.51s/it]
92%|████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 624/681 [40:02<02:24, 2.54s/it]
{'loss': 3.3046, 'grad_norm': 90469.3125, 'learning_rate': 1.0998978889320582e-08, 'beta_dpo/gap_mean': 396.8379821777344, 'beta_dpo/gap_std': 400.57037353515625, 'beta_dpo/beta_used_raw': 0.8192785978317261, 'beta_dpo/beta_used': 2.6343820095062256, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.734670400619507, 'logits/rejected': -2.8197638988494873, 'beta_dpo/beta': 2.6343820095062256, 'beta_dpo/loss_margin_mean': 465.2864990234375, 'beta_dpo/beta_margin_mean': 1267.75537109375, 'beta_dpo/beta_margin_std': 1948.750732421875, 'beta_dpo/beta_margin_grad_mean': -0.24445195496082306, 'beta_dpo/beta_margin_grad_std': 0.26650404930114746, 'epoch': 0.92}
|
|||
|
|
92%|████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 624/681 [40:02<02:24, 2.54s/it]
92%|████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 625/681 [40:04<02:22, 2.54s/it]
{'loss': 17.1082, 'grad_norm': 26121.599609375, 'learning_rate': 1.0625660234518913e-08, 'beta_dpo/gap_mean': 401.3667297363281, 'beta_dpo/gap_std': 384.7314453125, 'beta_dpo/beta_used_raw': -0.7660439014434814, 'beta_dpo/beta_used': 1.0586000680923462, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6922459602355957, 'logits/rejected': -2.767746925354004, 'beta_dpo/beta': 1.0586000680923462, 'beta_dpo/loss_margin_mean': 412.4743957519531, 'beta_dpo/beta_margin_mean': 472.75970458984375, 'beta_dpo/beta_margin_std': 665.16015625, 'beta_dpo/beta_margin_grad_mean': -0.23547331988811493, 'beta_dpo/beta_margin_grad_std': 0.24736563861370087, 'epoch': 0.92}
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|
|
92%|████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 625/681 [40:05<02:22, 2.54s/it]
92%|████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 626/681 [40:07<02:20, 2.56s/it]
{'loss': 1.0654, 'grad_norm': 34.07730484008789, 'learning_rate': 1.0258649316189721e-08, 'beta_dpo/gap_mean': 402.25384521484375, 'beta_dpo/gap_std': 386.7181091308594, 'beta_dpo/beta_used_raw': -1.5139915943145752, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.66159725189209, 'logits/rejected': -2.7381627559661865, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 394.98089599609375, 'beta_dpo/beta_margin_mean': 0.39498090744018555, 'beta_dpo/beta_margin_std': 0.4217798709869385, 'beta_dpo/beta_margin_grad_mean': -0.40667426586151123, 'beta_dpo/beta_margin_grad_std': 0.09596937894821167, 'epoch': 0.92}
|
|||
|
|
92%|████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 626/681 [40:07<02:20, 2.56s/it]
92%|████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 627/681 [40:10<02:16, 2.52s/it]
{'loss': 0.0004, 'grad_norm': 38.47300720214844, 'learning_rate': 9.897955805412e-09, 'beta_dpo/gap_mean': 412.205810546875, 'beta_dpo/gap_std': 392.6907958984375, 'beta_dpo/beta_used_raw': 3.29160737991333, 'beta_dpo/beta_used': 3.29160737991333, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.662278413772583, 'logits/rejected': -2.77905011177063, 'beta_dpo/beta': 3.29160737991333, 'beta_dpo/loss_margin_mean': 481.80487060546875, 'beta_dpo/beta_margin_mean': 1679.4234619140625, 'beta_dpo/beta_margin_std': 2345.806884765625, 'beta_dpo/beta_margin_grad_mean': -0.07827726006507874, 'beta_dpo/beta_margin_grad_std': 0.26832348108291626, 'epoch': 0.92}
|
|||
|
|
92%|████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 627/681 [40:10<02:16, 2.52s/it]
92%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 628/681 [40:12<02:13, 2.52s/it]
{'loss': 6.3099, 'grad_norm': 5785.26611328125, 'learning_rate': 9.543589206795238e-09, 'beta_dpo/gap_mean': 422.8117370605469, 'beta_dpo/gap_std': 404.112548828125, 'beta_dpo/beta_used_raw': -0.19239750504493713, 'beta_dpo/beta_used': 0.16923931241035461, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.7000410556793213, 'logits/rejected': -2.7991576194763184, 'beta_dpo/beta': 0.16923931241035461, 'beta_dpo/loss_margin_mean': 459.7860107421875, 'beta_dpo/beta_margin_mean': 74.43370819091797, 'beta_dpo/beta_margin_std': 140.65432739257812, 'beta_dpo/beta_margin_grad_mean': -0.25576457381248474, 'beta_dpo/beta_margin_grad_std': 0.2738649845123291, 'epoch': 0.92}
|
|||
|
|
92%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 628/681 [40:12<02:13, 2.52s/it]
92%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 629/681 [40:15<02:11, 2.53s/it]
{'loss': 1.5217, 'grad_norm': 3084.765380859375, 'learning_rate': 9.19555885822887e-09, 'beta_dpo/gap_mean': 422.31903076171875, 'beta_dpo/gap_std': 400.2264404296875, 'beta_dpo/beta_used_raw': -1.8342968225479126, 'beta_dpo/beta_used': 0.24494610726833344, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.698057174682617, 'logits/rejected': -2.772855281829834, 'beta_dpo/beta': 0.24494610726833344, 'beta_dpo/loss_margin_mean': 406.9854736328125, 'beta_dpo/beta_margin_mean': 103.84109497070312, 'beta_dpo/beta_margin_std': 145.34765625, 'beta_dpo/beta_margin_grad_mean': -0.25123071670532227, 'beta_dpo/beta_margin_grad_std': 0.26800966262817383, 'epoch': 0.92}
|
|||
|
|
92%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 629/681 [40:15<02:11, 2.53s/it]
93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 630/681 [40:17<02:07, 2.50s/it]
{'loss': 0.6538, 'grad_norm': 128.09698486328125, 'learning_rate': 8.85387393063622e-09, 'beta_dpo/gap_mean': 418.43365478515625, 'beta_dpo/gap_std': 380.6859436035156, 'beta_dpo/beta_used_raw': -1.358794927597046, 'beta_dpo/beta_used': 0.010254332795739174, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.66994571685791, 'logits/rejected': -2.7564034461975098, 'beta_dpo/beta': 0.010254332795739174, 'beta_dpo/loss_margin_mean': 416.1902160644531, 'beta_dpo/beta_margin_mean': 4.899608135223389, 'beta_dpo/beta_margin_std': 7.351168155670166, 'beta_dpo/beta_margin_grad_mean': -0.2662602663040161, 'beta_dpo/beta_margin_grad_std': 0.2255883365869522, 'epoch': 0.93}
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93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 630/681 [40:17<02:07, 2.50s/it]
93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 631/681 [40:20<02:05, 2.50s/it]
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|
|||
|
|
93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 631/681 [40:20<02:05, 2.50s/it]
93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 632/681 [40:22<01:58, 2.42s/it]
{'loss': 20.7515, 'grad_norm': 13932.6142578125, 'learning_rate': 8.189576185789637e-09, 'beta_dpo/gap_mean': 409.9851989746094, 'beta_dpo/gap_std': 375.94549560546875, 'beta_dpo/beta_used_raw': -3.893587350845337, 'beta_dpo/beta_used': 0.6863118410110474, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.712128162384033, 'logits/rejected': -2.77974009513855, 'beta_dpo/beta': 0.6863118410110474, 'beta_dpo/loss_margin_mean': 378.54730224609375, 'beta_dpo/beta_margin_mean': 278.4541931152344, 'beta_dpo/beta_margin_std': 425.826416015625, 'beta_dpo/beta_margin_grad_mean': -0.2555917203426361, 'beta_dpo/beta_margin_grad_std': 0.2693924009799957, 'epoch': 0.93}
|
|||
|
|
93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 632/681 [40:22<01:58, 2.42s/it]
93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 633/681 [40:24<01:55, 2.40s/it]
{'loss': 33.6173, 'grad_norm': 38270.734375, 'learning_rate': 7.866980873399015e-09, 'beta_dpo/gap_mean': 402.13140869140625, 'beta_dpo/gap_std': 372.6382141113281, 'beta_dpo/beta_used_raw': -0.9592093229293823, 'beta_dpo/beta_used': 0.8220680356025696, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.7510485649108887, 'logits/rejected': -2.832095146179199, 'beta_dpo/beta': 0.8220680356025696, 'beta_dpo/loss_margin_mean': 393.3555908203125, 'beta_dpo/beta_margin_mean': 374.5078125, 'beta_dpo/beta_margin_std': 545.6969604492188, 'beta_dpo/beta_margin_grad_mean': -0.2414667308330536, 'beta_dpo/beta_margin_grad_std': 0.25375181436538696, 'epoch': 0.93}
|
|||
|
|
93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 633/681 [40:24<01:55, 2.40s/it]
93%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 634/681 [40:27<01:53, 2.42s/it]
{'loss': 3.3576, 'grad_norm': 23538.87109375, 'learning_rate': 7.550765991247654e-09, 'beta_dpo/gap_mean': 416.826171875, 'beta_dpo/gap_std': 384.57305908203125, 'beta_dpo/beta_used_raw': -1.2706066370010376, 'beta_dpo/beta_used': 1.9843794107437134, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.7076034545898438, 'logits/rejected': -2.8257126808166504, 'beta_dpo/beta': 1.9843794107437134, 'beta_dpo/loss_margin_mean': 465.8406982421875, 'beta_dpo/beta_margin_mean': 1058.7847900390625, 'beta_dpo/beta_margin_std': 1698.30029296875, 'beta_dpo/beta_margin_grad_mean': -0.23467524349689484, 'beta_dpo/beta_margin_grad_std': 0.25170350074768066, 'epoch': 0.93}
|
|||
|
|
93%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 634/681 [40:27<01:53, 2.42s/it]
93%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 635/681 [40:29<01:50, 2.40s/it]
{'loss': 1.1092, 'grad_norm': 27.796987533569336, 'learning_rate': 7.240939871891699e-09, 'beta_dpo/gap_mean': 407.5589904785156, 'beta_dpo/gap_std': 385.02099609375, 'beta_dpo/beta_used_raw': -5.190537452697754, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.733865261077881, 'logits/rejected': -2.7787771224975586, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 356.0367431640625, 'beta_dpo/beta_margin_mean': 0.3560367524623871, 'beta_dpo/beta_margin_std': 0.37797629833221436, 'beta_dpo/beta_margin_grad_mean': -0.4157167077064514, 'beta_dpo/beta_margin_grad_std': 0.08389006555080414, 'epoch': 0.93}
|
|||
|
|
93%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 635/681 [40:29<01:50, 2.40s/it]
93%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 636/681 [40:32<01:53, 2.52s/it]
{'loss': 1.1087, 'grad_norm': 32.076175689697266, 'learning_rate': 6.937510679537628e-09, 'beta_dpo/gap_mean': 395.2179870605469, 'beta_dpo/gap_std': 383.86175537109375, 'beta_dpo/beta_used_raw': -4.042080402374268, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.7010793685913086, 'logits/rejected': -2.7489147186279297, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 352.67730712890625, 'beta_dpo/beta_margin_mean': 0.3526773154735565, 'beta_dpo/beta_margin_std': 0.35728541016578674, 'beta_dpo/beta_margin_grad_mean': -0.4153151214122772, 'beta_dpo/beta_margin_grad_std': 0.08367358148097992, 'epoch': 0.93}
|
|||
|
|
93%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 636/681 [40:32<01:53, 2.52s/it]
94%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 637/681 [40:34<01:52, 2.56s/it]
{'loss': 1.098, 'grad_norm': 30.193471908569336, 'learning_rate': 6.640486409826785e-09, 'beta_dpo/gap_mean': 400.29400634765625, 'beta_dpo/gap_std': 386.3330993652344, 'beta_dpo/beta_used_raw': -3.6715822219848633, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.697937250137329, 'logits/rejected': -2.79691219329834, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 431.2987060546875, 'beta_dpo/beta_margin_mean': 0.43129873275756836, 'beta_dpo/beta_margin_std': 0.4063197672367096, 'beta_dpo/beta_margin_grad_mean': -0.39836955070495605, 'beta_dpo/beta_margin_grad_std': 0.09108960628509521, 'epoch': 0.94}
|
|||
|
|
94%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 637/681 [40:34<01:52, 2.56s/it]
94%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 638/681 [40:37<01:48, 2.52s/it]
{'loss': 2.9598, 'grad_norm': 4143.97802734375, 'learning_rate': 6.349874889624962e-09, 'beta_dpo/gap_mean': 401.11383056640625, 'beta_dpo/gap_std': 381.48553466796875, 'beta_dpo/beta_used_raw': -1.928234577178955, 'beta_dpo/beta_used': 1.0422019958496094, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.663649320602417, 'logits/rejected': -2.739919662475586, 'beta_dpo/beta': 1.0422019958496094, 'beta_dpo/loss_margin_mean': 406.8208923339844, 'beta_dpo/beta_margin_mean': 457.24200439453125, 'beta_dpo/beta_margin_std': 703.8070678710938, 'beta_dpo/beta_margin_grad_mean': -0.2520017921924591, 'beta_dpo/beta_margin_grad_std': 0.26553109288215637, 'epoch': 0.94}
|
|||
|
|
94%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 638/681 [40:37<01:48, 2.52s/it]
94%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 639/681 [40:39<01:45, 2.50s/it]
{'loss': 5.479, 'grad_norm': 12486.169921875, 'learning_rate': 6.065683776815933e-09, 'beta_dpo/gap_mean': 384.8955078125, 'beta_dpo/gap_std': 367.0290832519531, 'beta_dpo/beta_used_raw': -3.1657114028930664, 'beta_dpo/beta_used': 0.8174912929534912, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.637770652770996, 'logits/rejected': -2.6620218753814697, 'beta_dpo/beta': 0.8174912929534912, 'beta_dpo/loss_margin_mean': 319.404052734375, 'beta_dpo/beta_margin_mean': 371.14276123046875, 'beta_dpo/beta_margin_std': 529.0587768554688, 'beta_dpo/beta_margin_grad_mean': -0.27413713932037354, 'beta_dpo/beta_margin_grad_std': 0.2775159478187561, 'epoch': 0.94}
|
|||
|
|
94%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 639/681 [40:39<01:45, 2.50s/it]
94%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 640/681 [40:42<01:40, 2.45s/it]
{'loss': 0.5343, 'grad_norm': 27.00104522705078, 'learning_rate': 5.7879205600998296e-09, 'beta_dpo/gap_mean': 402.61187744140625, 'beta_dpo/gap_std': 376.2877197265625, 'beta_dpo/beta_used_raw': 0.036036670207977295, 'beta_dpo/beta_used': 0.4668891727924347, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6643662452697754, 'logits/rejected': -2.7640390396118164, 'beta_dpo/beta': 0.4668891727924347, 'beta_dpo/loss_margin_mean': 500.78619384765625, 'beta_dpo/beta_margin_mean': 256.6402893066406, 'beta_dpo/beta_margin_std': 346.9462890625, 'beta_dpo/beta_margin_grad_mean': -0.19809961318969727, 'beta_dpo/beta_margin_grad_std': 0.21003539860248566, 'epoch': 0.94}
|
|||
|
|
94%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 640/681 [40:42<01:40, 2.45s/it]
94%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 641/681 [40:44<01:39, 2.49s/it]
{'loss': 33.9035, 'grad_norm': 37319.4296875, 'learning_rate': 5.516592558795746e-09, 'beta_dpo/gap_mean': 413.01031494140625, 'beta_dpo/gap_std': 378.18206787109375, 'beta_dpo/beta_used_raw': -0.05958735942840576, 'beta_dpo/beta_used': 1.7024071216583252, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.7087669372558594, 'logits/rejected': -2.7869772911071777, 'beta_dpo/beta': 1.7024071216583252, 'beta_dpo/loss_margin_mean': 426.4712829589844, 'beta_dpo/beta_margin_mean': 737.9752197265625, 'beta_dpo/beta_margin_std': 1113.3966064453125, 'beta_dpo/beta_margin_grad_mean': -0.2545595169067383, 'beta_dpo/beta_margin_grad_std': 0.2657167315483093, 'epoch': 0.94}
|
|||
|
|
94%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 641/681 [40:44<01:39, 2.49s/it]
94%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 642/681 [40:47<01:36, 2.48s/it]
{'loss': 0.554, 'grad_norm': 23.94333839416504, 'learning_rate': 5.251706922648868e-09, 'beta_dpo/gap_mean': 417.9560852050781, 'beta_dpo/gap_std': 394.83203125, 'beta_dpo/beta_used_raw': 0.7488954067230225, 'beta_dpo/beta_used': 2.8232624530792236, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6790223121643066, 'logits/rejected': -2.778899908065796, 'beta_dpo/beta': 2.8232624530792236, 'beta_dpo/loss_margin_mean': 470.5616455078125, 'beta_dpo/beta_margin_mean': 1559.873291015625, 'beta_dpo/beta_margin_std': 2155.26123046875, 'beta_dpo/beta_margin_grad_mean': -0.20511434972286224, 'beta_dpo/beta_margin_grad_std': 0.21880197525024414, 'epoch': 0.94}
|
|||
|
|
94%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 642/681 [40:47<01:36, 2.48s/it]
94%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 643/681 [40:49<01:33, 2.47s/it]
{'loss': 1.0385, 'grad_norm': 28.286523818969727, 'learning_rate': 4.993270631642038e-09, 'beta_dpo/gap_mean': 421.8905944824219, 'beta_dpo/gap_std': 384.7071228027344, 'beta_dpo/beta_used_raw': -1.0951257944107056, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6818013191223145, 'logits/rejected': -2.7871358394622803, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 404.2005310058594, 'beta_dpo/beta_margin_mean': 0.40420055389404297, 'beta_dpo/beta_margin_std': 0.3269351124763489, 'beta_dpo/beta_margin_grad_mean': -0.40317976474761963, 'beta_dpo/beta_margin_grad_std': 0.07390031218528748, 'epoch': 0.94}
|
|||
|
|
94%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 643/681 [40:49<01:33, 2.47s/it]
95%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 644/681 [40:52<01:33, 2.53s/it]
{'loss': 1.0446, 'grad_norm': 33.19130325317383, 'learning_rate': 4.741290495811873e-09, 'beta_dpo/gap_mean': 418.0806884765625, 'beta_dpo/gap_std': 381.2316589355469, 'beta_dpo/beta_used_raw': -1.0808398723602295, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.66062068939209, 'logits/rejected': -2.7422003746032715, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 385.7050476074219, 'beta_dpo/beta_margin_mean': 0.38570505380630493, 'beta_dpo/beta_margin_std': 0.35576584935188293, 'beta_dpo/beta_margin_grad_mean': -0.4079779386520386, 'beta_dpo/beta_margin_grad_std': 0.08079829812049866, 'epoch': 0.95}
|
|||
|
|
95%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 644/681 [40:52<01:33, 2.53s/it]
95%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 645/681 [40:54<01:32, 2.57s/it]
{'loss': 1.1056, 'grad_norm': 28.928796768188477, 'learning_rate': 4.495773155069299e-09, 'beta_dpo/gap_mean': 409.40924072265625, 'beta_dpo/gap_std': 381.2076416015625, 'beta_dpo/beta_used_raw': -4.672241687774658, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.667562484741211, 'logits/rejected': -2.756563663482666, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 371.1376953125, 'beta_dpo/beta_margin_mean': 0.37113770842552185, 'beta_dpo/beta_margin_std': 0.40058884024620056, 'beta_dpo/beta_margin_grad_mean': -0.4123542308807373, 'beta_dpo/beta_margin_grad_std': 0.09075028449296951, 'epoch': 0.95}
|
|||
|
|
95%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 645/681 [40:54<01:32, 2.57s/it]
95%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 646/681 [40:57<01:29, 2.55s/it]
{'loss': 6.6603, 'grad_norm': 9614.8828125, 'learning_rate': 4.256725079024553e-09, 'beta_dpo/gap_mean': 402.3372802734375, 'beta_dpo/gap_std': 367.37091064453125, 'beta_dpo/beta_used_raw': -0.878277599811554, 'beta_dpo/beta_used': 0.956828236579895, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.677600383758545, 'logits/rejected': -2.7275893688201904, 'beta_dpo/beta': 0.956828236579895, 'beta_dpo/loss_margin_mean': 363.10498046875, 'beta_dpo/beta_margin_mean': 412.48236083984375, 'beta_dpo/beta_margin_std': 568.2828979492188, 'beta_dpo/beta_margin_grad_mean': -0.24536260962486267, 'beta_dpo/beta_margin_grad_std': 0.25645798444747925, 'epoch': 0.95}
|
|||
|
|
95%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 646/681 [40:57<01:29, 2.55s/it]
95%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 647/681 [41:00<01:27, 2.56s/it]
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|
|||
|
|
95%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 647/681 [41:00<01:27, 2.56s/it]
95%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 648/681 [41:02<01:23, 2.54s/it]
{'loss': 31.5114, 'grad_norm': 27103.84375, 'learning_rate': 3.798061746947995e-09, 'beta_dpo/gap_mean': 395.81396484375, 'beta_dpo/gap_std': 356.5727233886719, 'beta_dpo/beta_used_raw': -1.4812275171279907, 'beta_dpo/beta_used': 0.5703181624412537, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6732091903686523, 'logits/rejected': -2.8048720359802246, 'beta_dpo/beta': 0.5703181624412537, 'beta_dpo/loss_margin_mean': 429.5019836425781, 'beta_dpo/beta_margin_mean': 255.6763916015625, 'beta_dpo/beta_margin_std': 416.8722229003906, 'beta_dpo/beta_margin_grad_mean': -0.24799123406410217, 'beta_dpo/beta_margin_grad_std': 0.264789342880249, 'epoch': 0.95}
|
|||
|
|
95%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 648/681 [41:02<01:23, 2.54s/it]
95%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 649/681 [41:05<01:25, 2.66s/it]
{'loss': 1.1226, 'grad_norm': 31.426589965820312, 'learning_rate': 3.5784585771215235e-09, 'beta_dpo/gap_mean': 385.2996826171875, 'beta_dpo/gap_std': 365.2505798339844, 'beta_dpo/beta_used_raw': -4.014761924743652, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.712721347808838, 'logits/rejected': -2.750772476196289, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 301.92132568359375, 'beta_dpo/beta_margin_mean': 0.3019213378429413, 'beta_dpo/beta_margin_std': 0.4140036404132843, 'beta_dpo/beta_margin_grad_mean': -0.4284921884536743, 'beta_dpo/beta_margin_grad_std': 0.09621818363666534, 'epoch': 0.95}
|
|||
|
|
95%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 649/681 [41:05<01:25, 2.66s/it]
95%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 650/681 [41:07<01:21, 2.62s/it]
{'loss': 46.2267, 'grad_norm': 76912.0078125, 'learning_rate': 3.3653488440851253e-09, 'beta_dpo/gap_mean': 391.6793212890625, 'beta_dpo/gap_std': 385.2804870605469, 'beta_dpo/beta_used_raw': 2.429518222808838, 'beta_dpo/beta_used': 2.429518222808838, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6398544311523438, 'logits/rejected': -2.746957540512085, 'beta_dpo/beta': 2.429518222808838, 'beta_dpo/loss_margin_mean': 466.9042663574219, 'beta_dpo/beta_margin_mean': 1180.8328857421875, 'beta_dpo/beta_margin_std': 1849.820556640625, 'beta_dpo/beta_margin_grad_mean': -0.15641333162784576, 'beta_dpo/beta_margin_grad_std': 0.3630194067955017, 'epoch': 0.95}
|
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|
|
95%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 650/681 [41:08<01:21, 2.62s/it]
96%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 651/681 [41:10<01:16, 2.56s/it]
{'loss': 14.6975, 'grad_norm': 72114.8203125, 'learning_rate': 3.158738163478475e-09, 'beta_dpo/gap_mean': 405.810546875, 'beta_dpo/gap_std': 392.9246826171875, 'beta_dpo/beta_used_raw': 2.192887306213379, 'beta_dpo/beta_used': 2.192887306213379, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.726027011871338, 'logits/rejected': -2.8322134017944336, 'beta_dpo/beta': 2.192887306213379, 'beta_dpo/loss_margin_mean': 439.4105529785156, 'beta_dpo/beta_margin_mean': 1079.196533203125, 'beta_dpo/beta_margin_std': 1474.2933349609375, 'beta_dpo/beta_margin_grad_mean': -0.14100220799446106, 'beta_dpo/beta_margin_grad_std': 0.33823278546333313, 'epoch': 0.96}
|
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|
|
96%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 651/681 [41:10<01:16, 2.56s/it]
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 652/681 [41:12<01:14, 2.56s/it]
{'loss': 64.9825, 'grad_norm': 58857.55859375, 'learning_rate': 2.9586319796851555e-09, 'beta_dpo/gap_mean': 408.07373046875, 'beta_dpo/gap_std': 401.121337890625, 'beta_dpo/beta_used_raw': 3.001312732696533, 'beta_dpo/beta_used': 3.001312732696533, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.7092862129211426, 'logits/rejected': -2.830409049987793, 'beta_dpo/beta': 3.001312732696533, 'beta_dpo/loss_margin_mean': 430.41156005859375, 'beta_dpo/beta_margin_mean': 1289.045654296875, 'beta_dpo/beta_margin_std': 2198.432861328125, 'beta_dpo/beta_margin_grad_mean': -0.15693050622940063, 'beta_dpo/beta_margin_grad_std': 0.3628394305706024, 'epoch': 0.96}
|
|||
|
|
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 652/681 [41:12<01:14, 2.56s/it]
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 653/681 [41:15<01:11, 2.54s/it]
{'loss': 23.9097, 'grad_norm': 35622.0390625, 'learning_rate': 2.7650355656892166e-09, 'beta_dpo/gap_mean': 420.1622314453125, 'beta_dpo/gap_std': 404.7218933105469, 'beta_dpo/beta_used_raw': 0.3514312505722046, 'beta_dpo/beta_used': 1.4299049377441406, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.677021026611328, 'logits/rejected': -2.806358814239502, 'beta_dpo/beta': 1.4299049377441406, 'beta_dpo/loss_margin_mean': 500.4862365722656, 'beta_dpo/beta_margin_mean': 643.51318359375, 'beta_dpo/beta_margin_std': 985.338623046875, 'beta_dpo/beta_margin_grad_mean': -0.23352642357349396, 'beta_dpo/beta_margin_grad_std': 0.25692373514175415, 'epoch': 0.96}
|
|||
|
|
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 653/681 [41:15<01:11, 2.54s/it]
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 654/681 [41:18<01:08, 2.55s/it]
{'loss': 4.9214, 'grad_norm': 18767.052734375, 'learning_rate': 2.577954022936174e-09, 'beta_dpo/gap_mean': 423.97796630859375, 'beta_dpo/gap_std': 405.8636474609375, 'beta_dpo/beta_used_raw': -0.04932612180709839, 'beta_dpo/beta_used': 0.9755141735076904, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.706268787384033, 'logits/rejected': -2.816140651702881, 'beta_dpo/beta': 0.9755141735076904, 'beta_dpo/loss_margin_mean': 406.8052062988281, 'beta_dpo/beta_margin_mean': 399.7411804199219, 'beta_dpo/beta_margin_std': 707.6503295898438, 'beta_dpo/beta_margin_grad_mean': -0.2645564079284668, 'beta_dpo/beta_margin_grad_std': 0.2780976891517639, 'epoch': 0.96}
|
|||
|
|
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 654/681 [41:18<01:08, 2.55s/it]
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 655/681 [41:20<01:05, 2.50s/it]
{'loss': 3.7187, 'grad_norm': 18119.2421875, 'learning_rate': 2.397392281198729e-09, 'beta_dpo/gap_mean': 427.8386535644531, 'beta_dpo/gap_std': 412.89520263671875, 'beta_dpo/beta_used_raw': 0.2029227614402771, 'beta_dpo/beta_used': 1.0244628190994263, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.680917263031006, 'logits/rejected': -2.7932283878326416, 'beta_dpo/beta': 1.0244628190994263, 'beta_dpo/loss_margin_mean': 435.32635498046875, 'beta_dpo/beta_margin_mean': 510.8900451660156, 'beta_dpo/beta_margin_std': 796.9216918945312, 'beta_dpo/beta_margin_grad_mean': -0.25356224179267883, 'beta_dpo/beta_margin_grad_std': 0.2714630663394928, 'epoch': 0.96}
|
|||
|
|
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 655/681 [41:20<01:05, 2.50s/it]
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 656/681 [41:22<01:02, 2.52s/it]
{'loss': 3.1373, 'grad_norm': 6175.9521484375, 'learning_rate': 2.223355098446622e-09, 'beta_dpo/gap_mean': 440.5277404785156, 'beta_dpo/gap_std': 414.5347900390625, 'beta_dpo/beta_used_raw': 2.7679896354675293, 'beta_dpo/beta_used': 2.7679896354675293, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.654201030731201, 'logits/rejected': -2.7860169410705566, 'beta_dpo/beta': 2.7679896354675293, 'beta_dpo/loss_margin_mean': 540.3606567382812, 'beta_dpo/beta_margin_mean': 1555.604248046875, 'beta_dpo/beta_margin_std': 1787.474853515625, 'beta_dpo/beta_margin_grad_mean': -0.08084268122911453, 'beta_dpo/beta_margin_grad_std': 0.26834091544151306, 'epoch': 0.96}
|
|||
|
|
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 656/681 [41:23<01:02, 2.52s/it]
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 657/681 [41:25<00:59, 2.47s/it]
{'loss': 1.0684, 'grad_norm': 29.89715003967285, 'learning_rate': 2.055847060721566e-09, 'beta_dpo/gap_mean': 452.3384094238281, 'beta_dpo/gap_std': 401.4930725097656, 'beta_dpo/beta_used_raw': -4.769383430480957, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.7141106128692627, 'logits/rejected': -2.818988084793091, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 470.60772705078125, 'beta_dpo/beta_margin_mean': 0.4706077575683594, 'beta_dpo/beta_margin_std': 0.3598029613494873, 'beta_dpo/beta_margin_grad_mean': -0.38836878538131714, 'beta_dpo/beta_margin_grad_std': 0.08058323711156845, 'epoch': 0.96}
|
|||
|
|
96%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 657/681 [41:25<00:59, 2.47s/it]
97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 658/681 [41:27<00:55, 2.43s/it]
{'loss': 8.8263, 'grad_norm': 15924.490234375, 'learning_rate': 1.8948725820160662e-09, 'beta_dpo/gap_mean': 444.14215087890625, 'beta_dpo/gap_std': 383.74365234375, 'beta_dpo/beta_used_raw': -3.3986754417419434, 'beta_dpo/beta_used': 0.3125349283218384, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6853952407836914, 'logits/rejected': -2.801093578338623, 'beta_dpo/beta': 0.3125349283218384, 'beta_dpo/loss_margin_mean': 420.6098937988281, 'beta_dpo/beta_margin_mean': 149.250732421875, 'beta_dpo/beta_margin_std': 212.36988830566406, 'beta_dpo/beta_margin_grad_mean': -0.2526739537715912, 'beta_dpo/beta_margin_grad_std': 0.2634952664375305, 'epoch': 0.97}
|
|||
|
|
97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 658/681 [41:27<00:55, 2.43s/it]
97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 659/681 [41:30<00:55, 2.52s/it]
{'loss': 1.0658, 'grad_norm': 33.702049255371094, 'learning_rate': 1.7404359041573723e-09, 'beta_dpo/gap_mean': 439.3583679199219, 'beta_dpo/gap_std': 378.472412109375, 'beta_dpo/beta_used_raw': -3.6913902759552, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.692453145980835, 'logits/rejected': -2.7410359382629395, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 396.1846923828125, 'beta_dpo/beta_margin_mean': 0.3961847126483917, 'beta_dpo/beta_margin_std': 0.37236061692237854, 'beta_dpo/beta_margin_grad_mean': -0.4057837426662445, 'beta_dpo/beta_margin_grad_std': 0.08504177629947662, 'epoch': 0.97}
|
|||
|
|
97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 659/681 [41:30<00:55, 2.52s/it]
97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 660/681 [41:32<00:52, 2.52s/it]
{'loss': 1.0505, 'grad_norm': 25.069368362426758, 'learning_rate': 1.592541096695571e-09, 'beta_dpo/gap_mean': 438.81976318359375, 'beta_dpo/gap_std': 376.5857849121094, 'beta_dpo/beta_used_raw': -2.6651883125305176, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6554760932922363, 'logits/rejected': -2.734593391418457, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 446.9809875488281, 'beta_dpo/beta_margin_mean': 0.4469809830188751, 'beta_dpo/beta_margin_std': 0.3453811705112457, 'beta_dpo/beta_margin_grad_mean': -0.3935113251209259, 'beta_dpo/beta_margin_grad_std': 0.07827742397785187, 'epoch': 0.97}
|
|||
|
|
97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 660/681 [41:32<00:52, 2.52s/it]
97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 661/681 [41:35<00:50, 2.52s/it]
{'loss': 1.0573, 'grad_norm': 28.522525787353516, 'learning_rate': 1.4511920567963908e-09, 'beta_dpo/gap_mean': 431.3531494140625, 'beta_dpo/gap_std': 369.5039367675781, 'beta_dpo/beta_used_raw': -2.9038610458374023, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6922972202301025, 'logits/rejected': -2.764153242111206, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 412.9953918457031, 'beta_dpo/beta_margin_mean': 0.4129953980445862, 'beta_dpo/beta_margin_std': 0.3699604570865631, 'beta_dpo/beta_margin_grad_mean': -0.40231382846832275, 'beta_dpo/beta_margin_grad_std': 0.0794859230518341, 'epoch': 0.97}
|
|||
|
|
97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 661/681 [41:35<00:50, 2.52s/it]
97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 662/681 [41:37<00:47, 2.49s/it]
{'loss': 4.327, 'grad_norm': 10333.798828125, 'learning_rate': 1.3163925091384532e-09, 'beta_dpo/gap_mean': 432.52001953125, 'beta_dpo/gap_std': 375.65093994140625, 'beta_dpo/beta_used_raw': 1.1851645708084106, 'beta_dpo/beta_used': 1.1851645708084106, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6792619228363037, 'logits/rejected': -2.7577905654907227, 'beta_dpo/beta': 1.1851645708084106, 'beta_dpo/loss_margin_mean': 417.3674011230469, 'beta_dpo/beta_margin_mean': 517.0401000976562, 'beta_dpo/beta_margin_std': 781.3206787109375, 'beta_dpo/beta_margin_grad_mean': -0.10670406371355057, 'beta_dpo/beta_margin_grad_std': 0.29752376675605774, 'epoch': 0.97}
|
|||
|
|
97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 662/681 [41:37<00:47, 2.49s/it]
97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 663/681 [41:40<00:45, 2.52s/it]
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97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 663/681 [41:40<00:45, 2.52s/it]
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 664/681 [41:42<00:43, 2.53s/it]
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|
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 664/681 [41:43<00:43, 2.53s/it]
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 665/681 [41:45<00:39, 2.49s/it]
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|
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 665/681 [41:45<00:39, 2.49s/it]
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 666/681 [41:48<00:37, 2.53s/it]
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|
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 666/681 [41:48<00:37, 2.53s/it]
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 667/681 [41:50<00:35, 2.51s/it]
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|
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 667/681 [41:50<00:35, 2.51s/it]
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 668/681 [41:53<00:32, 2.54s/it]
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|
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 668/681 [41:53<00:32, 2.54s/it]
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 669/681 [41:55<00:30, 2.54s/it]
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|
98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 669/681 [41:55<00:30, 2.54s/it]
98%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 670/681 [41:58<00:28, 2.60s/it]
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|
98%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 670/681 [41:58<00:28, 2.60s/it]
99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 671/681 [42:00<00:25, 2.52s/it]
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99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 671/681 [42:00<00:25, 2.52s/it]
99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 672/681 [42:03<00:23, 2.60s/it]
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99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 672/681 [42:03<00:23, 2.60s/it]
99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 673/681 [42:05<00:20, 2.54s/it]
{'loss': 3.2363, 'grad_norm': 38753.8828125, 'learning_rate': 2.6675629940689504e-10, 'beta_dpo/gap_mean': 421.73614501953125, 'beta_dpo/gap_std': 390.53887939453125, 'beta_dpo/beta_used_raw': -1.017942190170288, 'beta_dpo/beta_used': 0.9086623191833496, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6246771812438965, 'logits/rejected': -2.71297287940979, 'beta_dpo/beta': 0.9086623191833496, 'beta_dpo/loss_margin_mean': 465.11651611328125, 'beta_dpo/beta_margin_mean': 426.99517822265625, 'beta_dpo/beta_margin_std': 589.7709350585938, 'beta_dpo/beta_margin_grad_mean': -0.2269849181175232, 'beta_dpo/beta_margin_grad_std': 0.24361680448055267, 'epoch': 0.99}
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99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 673/681 [42:05<00:20, 2.54s/it]
99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 674/681 [42:08<00:17, 2.54s/it]
{'loss': 1.0447, 'grad_norm': 26.38853645324707, 'learning_rate': 2.1077827798404725e-10, 'beta_dpo/gap_mean': 413.60247802734375, 'beta_dpo/gap_std': 390.3453674316406, 'beta_dpo/beta_used_raw': -0.3440747559070587, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6841392517089844, 'logits/rejected': -2.7508318424224854, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 371.81182861328125, 'beta_dpo/beta_margin_mean': 0.3718118667602539, 'beta_dpo/beta_margin_std': 0.39119818806648254, 'beta_dpo/beta_margin_grad_mean': -0.4113142192363739, 'beta_dpo/beta_margin_grad_std': 0.0917758122086525, 'epoch': 0.99}
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|
99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 674/681 [42:08<00:17, 2.54s/it]
99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 675/681 [42:10<00:14, 2.47s/it]
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|
99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 675/681 [42:10<00:14, 2.47s/it]
99%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏| 676/681 [42:13<00:12, 2.46s/it]
{'loss': 3.2861, 'grad_norm': 25749.53515625, 'learning_rate': 1.1857007165852472e-10, 'beta_dpo/gap_mean': 408.2674255371094, 'beta_dpo/gap_std': 382.36383056640625, 'beta_dpo/beta_used_raw': 0.7559030055999756, 'beta_dpo/beta_used': 1.3021284341812134, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6717138290405273, 'logits/rejected': -2.7089462280273438, 'beta_dpo/beta': 1.3021284341812134, 'beta_dpo/loss_margin_mean': 371.8644714355469, 'beta_dpo/beta_margin_mean': 523.4214477539062, 'beta_dpo/beta_margin_std': 893.8363647460938, 'beta_dpo/beta_margin_grad_mean': -0.27147722244262695, 'beta_dpo/beta_margin_grad_std': 0.28175440430641174, 'epoch': 0.99}
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|
99%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏| 676/681 [42:13<00:12, 2.46s/it]
99%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎| 677/681 [42:15<00:09, 2.46s/it]
{'loss': 5.7215, 'grad_norm': 50163.39453125, 'learning_rate': 8.23423165278725e-11, 'beta_dpo/gap_mean': 415.4775695800781, 'beta_dpo/gap_std': 378.42694091796875, 'beta_dpo/beta_used_raw': 2.582223653793335, 'beta_dpo/beta_used': 2.582223653793335, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6218011379241943, 'logits/rejected': -2.706326961517334, 'beta_dpo/beta': 2.582223653793335, 'beta_dpo/loss_margin_mean': 460.754150390625, 'beta_dpo/beta_margin_mean': 1187.6051025390625, 'beta_dpo/beta_margin_std': 1076.4876708984375, 'beta_dpo/beta_margin_grad_mean': -0.047779832035303116, 'beta_dpo/beta_margin_grad_std': 0.21129241585731506, 'epoch': 0.99}
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|
99%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎| 677/681 [42:15<00:09, 2.46s/it]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍| 678/681 [42:18<00:07, 2.47s/it]
{'loss': 4.2516, 'grad_norm': 6914.888671875, 'learning_rate': 5.270012410216185e-11, 'beta_dpo/gap_mean': 415.98052978515625, 'beta_dpo/gap_std': 376.99005126953125, 'beta_dpo/beta_used_raw': -0.259298712015152, 'beta_dpo/beta_used': 0.4946085810661316, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.6387507915496826, 'logits/rejected': -2.7189407348632812, 'beta_dpo/beta': 0.4946085810661316, 'beta_dpo/loss_margin_mean': 404.6373291015625, 'beta_dpo/beta_margin_mean': 201.0238800048828, 'beta_dpo/beta_margin_std': 325.8772277832031, 'beta_dpo/beta_margin_grad_mean': -0.264606773853302, 'beta_dpo/beta_margin_grad_std': 0.2809548079967499, 'epoch': 1.0}
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|
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍| 678/681 [42:18<00:07, 2.47s/it]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋| 679/681 [42:20<00:04, 2.42s/it]
{'loss': 1.0921, 'grad_norm': 32.21836471557617, 'learning_rate': 2.9644275480772416e-11, 'beta_dpo/gap_mean': 405.5008850097656, 'beta_dpo/gap_std': 373.1779479980469, 'beta_dpo/beta_used_raw': -4.045163631439209, 'beta_dpo/beta_used': 0.0010000000474974513, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.7105813026428223, 'logits/rejected': -2.7737274169921875, 'beta_dpo/beta': 0.0010000000474974513, 'beta_dpo/loss_margin_mean': 345.5482482910156, 'beta_dpo/beta_margin_mean': 0.34554827213287354, 'beta_dpo/beta_margin_std': 0.3380792737007141, 'beta_dpo/beta_margin_grad_mean': -0.4169081151485443, 'beta_dpo/beta_margin_grad_std': 0.07902750372886658, 'epoch': 1.0}
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100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋| 679/681 [42:20<00:04, 2.42s/it]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊| 680/681 [42:22<00:02, 2.46s/it]
{'loss': 49.8028, 'grad_norm': 100621.9609375, 'learning_rate': 1.31753782067201e-11, 'beta_dpo/gap_mean': 415.71636962890625, 'beta_dpo/gap_std': 377.8543395996094, 'beta_dpo/beta_used_raw': 1.5813672542572021, 'beta_dpo/beta_used': 2.237010955810547, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.689682722091675, 'logits/rejected': -2.7969093322753906, 'beta_dpo/beta': 2.237010955810547, 'beta_dpo/loss_margin_mean': 493.08428955078125, 'beta_dpo/beta_margin_mean': 1121.7413330078125, 'beta_dpo/beta_margin_std': 1776.8070068359375, 'beta_dpo/beta_margin_grad_mean': -0.25544458627700806, 'beta_dpo/beta_margin_grad_std': 0.27421900629997253, 'epoch': 1.0}
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100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊| 680/681 [42:23<00:02, 2.46s/it]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 681/681 [42:25<00:00, 2.41s/it]
{'loss': 11.4723, 'grad_norm': 16219.0615234375, 'learning_rate': 3.2938662507808745e-12, 'beta_dpo/gap_mean': 416.84112548828125, 'beta_dpo/gap_std': 377.1964416503906, 'beta_dpo/beta_used_raw': -0.9259518980979919, 'beta_dpo/beta_used': 0.9950853586196899, 'beta_dpo/mask_keep_frac': 0.78125, 'logits/chosen': -2.7180047035217285, 'logits/rejected': -2.8164992332458496, 'beta_dpo/beta': 0.9950853586196899, 'beta_dpo/loss_margin_mean': 425.1723327636719, 'beta_dpo/beta_margin_mean': 497.1185607910156, 'beta_dpo/beta_margin_std': 809.5509643554688, 'beta_dpo/beta_margin_grad_mean': -0.2544940412044525, 'beta_dpo/beta_margin_grad_std': 0.2666052281856537, 'epoch': 1.0}
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100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 681/681 [42:25<00:00, 2.41s/it][INFO|trainer.py:3984] 2026-04-18 06:48:23,391 >> Saving model checkpoint to /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-681
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[INFO|configuration_utils.py:419] 2026-04-18 06:48:23,397 >> Configuration saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-681/config.json
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[INFO|configuration_utils.py:911] 2026-04-18 06:48:23,401 >> Configuration saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-681/generation_config.json
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[INFO|modeling_utils.py:3580] 2026-04-18 06:49:03,724 >> The model is bigger than the maximum size per checkpoint (5GB) and is going to be split in 6 checkpoint shards. You can find where each parameters has been saved in the index located at /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-681/model.safetensors.index.json.
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[INFO|tokenization_utils_base.py:2510] 2026-04-18 06:49:03,782 >> tokenizer config file saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-681/tokenizer_config.json
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[INFO|tokenization_utils_base.py:2519] 2026-04-18 06:49:03,818 >> Special tokens file saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-681/special_tokens_map.json
|
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[INFO|trainer.py:4083] 2026-04-18 06:51:44,189 >> Deleting older checkpoint [/scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/checkpoint-400] due to args.save_total_limit
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[INFO|trainer.py:2681] 2026-04-18 06:51:45,700 >>
|
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|
Training completed. Do not forget to share your model on huggingface.co/models =)
|
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|
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{'train_runtime': 2770.5528, 'train_samples_per_second': 15.736, 'train_steps_per_second': 0.246, 'train_loss': 4.511853932745809, 'epoch': 1.0}
|
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100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 681/681 [46:01<00:00, 2.41s/it]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 681/681 [46:01<00:00, 4.06s/it]
|
|||
|
|
***** train metrics *****
|
|||
|
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epoch = 1.0
|
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|
total_flos = 0GF
|
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train_loss = 4.5119
|
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|
train_runtime = 0:46:10.55
|
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|
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train_samples = 43598
|
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train_samples_per_second = 15.736
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train_steps_per_second = 0.246
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2026-04-18 06:51:45 - INFO - __main__ - *** Training complete ***
|
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2026-04-18 06:51:45 - INFO - __main__ - *** Save model ***
|
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|
[INFO|configuration_utils.py:419] 2026-04-18 06:52:00,195 >> Configuration saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/config.json
|
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[INFO|configuration_utils.py:911] 2026-04-18 06:52:00,200 >> Configuration saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/generation_config.json
|
|||
|
|
[INFO|modeling_utils.py:3580] 2026-04-18 06:52:39,379 >> The model is bigger than the maximum size per checkpoint (5GB) and is going to be split in 6 checkpoint shards. You can find where each parameters has been saved in the index located at /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/model.safetensors.index.json.
|
|||
|
|
[INFO|tokenization_utils_base.py:2510] 2026-04-18 06:52:39,388 >> tokenizer config file saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/tokenizer_config.json
|
|||
|
|
[INFO|tokenization_utils_base.py:2519] 2026-04-18 06:52:39,392 >> Special tokens file saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/special_tokens_map.json
|
|||
|
|
2026-04-18 06:52:39 - INFO - __main__ - Saved HF-compatible model artifacts to /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332
|
|||
|
|
[INFO|modelcard.py:450] 2026-04-18 06:52:39,504 >> Dropping the following result as it does not have all the necessary fields:
|
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|
|
{'dataset': {'name': 'Anthropic/hh-rlhf', 'type': 'Anthropic/hh-rlhf'}}
|
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|
|
[INFO|configuration_utils.py:419] 2026-04-18 06:52:39,527 >> Configuration saved in /scratch/feng.yulu/dynamic-dpo-v4/outputs/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332/config.json
|
|||
|
|
2026-04-18 06:52:39 - INFO - __main__ - *** Evaluate ***
|
|||
|
|
[INFO|trainer.py:4307] 2026-04-18 06:52:39,528 >>
|
|||
|
|
***** Running Evaluation *****
|
|||
|
|
[INFO|trainer.py:4309] 2026-04-18 06:52:39,528 >> Num examples = 2339
|
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|
[INFO|trainer.py:4312] 2026-04-18 06:52:39,528 >> Batch size = 8
|
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|
|
0%| | 0/73 [00:00<?, ?it/s]
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25%|████████████████████████████▌ | 18/73 [00:08<00:29, 1.89it/s]
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30%|██████████████████████████████████▉
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***** eval metrics *****
|
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|
epoch = 1.0
|
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|
|
eval_beta_dpo/beta = 0.001
|
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eval_beta_dpo/beta_margin_grad_mean = -0.4415
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eval_beta_dpo/beta_margin_grad_std = 0.0979
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eval_beta_dpo/beta_margin_mean = 0.2461
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eval_beta_dpo/beta_margin_std = 0.4197
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eval_beta_dpo/beta_used = 0.001
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eval_beta_dpo/beta_used_raw = -10.4041
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eval_beta_dpo/gap_mean = 421.1994
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eval_beta_dpo/gap_std = 381.6453
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eval_beta_dpo/loss_margin_mean = 246.1313
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eval_beta_dpo/mask_keep_frac = 1.0
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eval_logits/chosen = -2.7954
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eval_logits/rejected = -2.8269
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eval_loss = 0.6001
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eval_runtime = 0:00:37.60
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eval_samples = 2339
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eval_samples_per_second = 62.199
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eval_steps_per_second = 1.968
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2026-04-18 06:53:17 - INFO - __main__ - *** Training complete! ***
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wandb:
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wandb: Run summary:
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wandb: eval/beta_dpo/beta 0.001
|
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wandb: eval/beta_dpo/beta_margin_grad_mean -0.44149
|
|||
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wandb: eval/beta_dpo/beta_margin_grad_std 0.09786
|
|||
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wandb: eval/beta_dpo/beta_margin_mean 0.24613
|
|||
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wandb: eval/beta_dpo/beta_margin_std 0.41967
|
|||
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wandb: eval/beta_dpo/beta_used 0.001
|
|||
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wandb: eval/beta_dpo/beta_used_raw -10.40409
|
|||
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wandb: eval/beta_dpo/gap_mean 421.19943
|
|||
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|
wandb: eval/beta_dpo/gap_std 381.64532
|
|||
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wandb: eval/beta_dpo/loss_margin_mean 246.13132
|
|||
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wandb: eval/beta_dpo/mask_keep_frac 1.0
|
|||
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wandb: eval/logits/chosen -2.79538
|
|||
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|
wandb: eval/logits/rejected -2.82687
|
|||
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wandb: eval/loss 0.60008
|
|||
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wandb: eval/runtime 37.6049
|
|||
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wandb: eval/samples_per_second 62.199
|
|||
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wandb: eval/steps_per_second 1.968
|
|||
|
|
wandb: total_flos 0.0
|
|||
|
|
wandb: train/beta_dpo/beta 0.99509
|
|||
|
|
wandb: train/beta_dpo/beta_margin_grad_mean -0.25449
|
|||
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|
wandb: train/beta_dpo/beta_margin_grad_std 0.26661
|
|||
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|
wandb: train/beta_dpo/beta_margin_mean 497.11856
|
|||
|
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wandb: train/beta_dpo/beta_margin_std 809.55096
|
|||
|
|
wandb: train/beta_dpo/beta_used 0.99509
|
|||
|
|
wandb: train/beta_dpo/beta_used_raw -0.92595
|
|||
|
|
wandb: train/beta_dpo/gap_mean 416.84113
|
|||
|
|
wandb: train/beta_dpo/gap_std 377.19644
|
|||
|
|
wandb: train/beta_dpo/loss_margin_mean 425.17233
|
|||
|
|
wandb: train/beta_dpo/mask_keep_frac 0.78125
|
|||
|
|
wandb: train/epoch 1.0
|
|||
|
|
wandb: train/global_step 681
|
|||
|
|
wandb: train/grad_norm 16219.06152
|
|||
|
|
wandb: train/learning_rate 0.0
|
|||
|
|
wandb: train/logits/chosen -2.718
|
|||
|
|
wandb: train/logits/rejected -2.8165
|
|||
|
|
wandb: train/loss 11.4723
|
|||
|
|
wandb: train_loss 4.51185
|
|||
|
|
wandb: train_runtime 2770.5528
|
|||
|
|
wandb: train_samples_per_second 15.736
|
|||
|
|
wandb: train_steps_per_second 0.246
|
|||
|
|
wandb:
|
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|
|
wandb: 🚀 View run mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332 at: https://wandb.ai/can-not-fand-northeastern-university/ood-run-4xh200/runs/gcan90hu
|
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|
|
wandb: ⭐️ View project at: https://wandb.ai/can-not-fand-northeastern-university/ood-run-4xh200
|
|||
|
|
wandb: Synced 6 W&B file(s), 0 media file(s), 2 artifact file(s) and 0 other file(s)
|
|||
|
|
wandb: Find logs at: /scratch/feng.yulu/dynamic-dpo-v4/wandb/wandb/run-20260418_060538-gcan90hu/logs
|
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|
|
wandb: WARNING The new W&B backend becomes opt-out in version 0.18.0; try it out with `wandb.require("core")`! See https://wandb.me/wandb-core for more information.
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