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base_model: EleutherAI/pythia-12b-deduped |
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base_model_config: EleutherAI/pythia-12b-deduped |
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base_model_ignore_patterns: pytorch* |
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model_type: GPTNeoXForCausalLM |
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tokenizer_type: AutoTokenizer |
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load_in_8bit: false |
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load_in_4bit: false |
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gptq: false |
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device_map: auto |
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datasets: |
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- path: vicgalle/alpaca-gpt4 |
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type: alpaca |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.05 |
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adapter: |
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lora_model_dir: |
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sequence_len: 2048 |
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max_packed_sequence_len: 2048 |
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lora_r: 64 |
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lora_alpha: 32 |
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lora_dropout: 0.0 |
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lora_target_modules: |
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lora_target_linear: true |
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lora_fan_in_fan_out: true |
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wandb_project: |
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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: ./pythia-12b |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 1 |
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num_epochs: 5 |
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learning_rate: 0.00003 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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train_on_inputs: false |
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group_by_length: false |
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bf16: false |
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fp16: false |
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float16: true |
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tf32: true |
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flash_optimum: 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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gradient_checkpointing: true |
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fsdp: |
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fsdp_config: |
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collator_pad_to_longest: true |
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