41 lines
923 B
YAML
41 lines
923 B
YAML
base_model: cerebras/Cerebras-GPT-1.3B
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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load_in_8bit: true
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datasets:
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- path: data/alpaca_data_gpt4.jsonl
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type: alpaca
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- path: data/vicuna_cleaned.jsonl
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type: sharegpt
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- path: data/gpt4-instruct-similarity-0.6-dataset.jsonl
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type: gpteacher
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- path: data/roleplay-similarity_0.6-instruct-dataset.jsonl
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type: gpteacher
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.05
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adapter: lora
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sequence_len: 2048
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lora_r: 8
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_modules:
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- c_attn
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lora_fan_in_fan_out: false
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wandb_project: pythia-1.4b-lora
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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output_dir: ./lora-alpaca
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batch_size: 32
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micro_batch_size: 4
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num_epochs: 5
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learning_rate: 0.0003
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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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tf32: True
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gradient_checkpointing:
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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