134 lines
3.3 KiB
YAML
134 lines
3.3 KiB
YAML
base_model: unsloth/Phi-3-mini-4k-instruct
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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trust_remote_code: true
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peft_layer_replication:
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- [0, 8]
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- [4, 12]
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- [8, 16]
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- [12, 20]
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- [16, 24]
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- [20, 28]
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- [24, 32]
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load_in_8bit: false
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load_in_4bit: true
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strict: false
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datasets:
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- path: /workspace/datasets/dolphin-2.9/dolphin201-sharegpt2.jsonl
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type: sharegpt
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conversation: chatml
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# - path: /workspace/datasets/dolphin-2.9/Ultrachat200kunfiltered.jsonl
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# type: sharegpt
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# conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/dolphin-coder-translate-sharegpt2.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/dolphin-coder-codegen-sharegpt2.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/not_samantha_norefusals.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/Orca-Math-resort-unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/agent_instruct_react_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/toolbench_instruct_j1s1_3k_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/toolbench_negative_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/toolbench_react_10p_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/toolbench_tflan_cot_30p_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/dolphin-2.9/openhermes200k_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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# - path: /workspace/datasets/dolphin-2.9/SystemConversations.jsonl
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# type: sharegpt
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# conversation: chatml
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chat_template: chatml
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dataset_prepared_path: dolphin-phi3-prepared
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val_set_size: 0
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output_dir: ./dolphin-phi3-5b
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sequence_len: 4096
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sample_packing: true
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pad_to_sequence_len: true
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adapter: qlora
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lora_model_dir:
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lora_r: 64
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lora_alpha: 32
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lora_dropout: 0.05
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lora_target_linear: true
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lora_fan_in_fan_out:
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lora_modules_to_save: ['embed_tokens', 'lm_head']
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wandb_project: dolphin-2.9-phi3-5b
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wandb_entity:
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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: 4
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micro_batch_size: 8
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num_epochs: 4
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optimizer: adamw_8bit
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# adam_beta2: 0.95
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# adam_epsilon: 0.00001
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max_grad_norm: 1.0
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lr_scheduler: cosine
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learning_rate: 5e-6
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train_on_inputs: false
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group_by_length: false
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bf16: auto
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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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warmup_steps: 100
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evals_per_epoch: 4
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saves_per_epoch: 1
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debug:
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# deepspeed: deepspeed_configs/zero2.json
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weight_decay: 0.1
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fsdp:
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fsdp_config:
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# resize_token_embeddings_to_32x: true
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special_tokens:
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eos_token: "<|im_end|>"
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pad_token: "<|endoftext|>"
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tokens:
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- "<|im_start|>"
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- "<|im_end|>"
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