81 lines
1.4 KiB
YAML
81 lines
1.4 KiB
YAML
base_model: meta-llama/Meta-Llama-3-8B
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model_type: LlamaForCausalLM
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tokenizer_type: AutoTokenizer
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load_in_8bit: true
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load_in_4bit: false
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strict: false
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datasets:
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- path: togethercomputer/RedPajama-Data-1T-Sample
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type: completion
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split: train
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.001
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output_dir: ./llama-3-32k
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save_safetensors: true
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sequence_len: 8192
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sample_packing: false
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pad_to_sequence_len: false
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use_pose: true
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pose_max_context_len: 65536
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overrides_of_model_config:
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rope_theta: 500000.0
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max_position_embeddings: 65536
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# peft_use_dora: true
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adapter: lora
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peft_use_rslora: true
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lora_model_dir:
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lora_r: 256
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lora_alpha: 256
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lora_dropout: 0.1
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lora_target_modules:
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- q_proj
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- k_proj
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- v_proj
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- o_proj
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wandb_project: llama-3-64k
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wandb_entity: oaaic
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wandb_watch:
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wandb_name:
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wandb_log_model:
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gradient_accumulation_steps: 8
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micro_batch_size: 1
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num_epochs: 1
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.00003
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train_on_inputs: false
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group_by_length: false
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bf16: true
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fp16:
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tf32: true
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: true
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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sdp_attention:
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s2_attention:
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warmup_steps: 10
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evals_per_epoch: 8
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saves_per_epoch: 8
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debug:
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deepspeed:
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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special_tokens:
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pad_token: <|end_of_text|>
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