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base_model: stabilityai/stablelm-base-alpha-3b |
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base_model_config: stabilityai/stablelm-base-alpha-3b |
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load_in_8bit: false |
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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: 0.04 |
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adapter: |
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lora_model_dir: |
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sequence_len: 4096 |
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max_packed_sequence_len: 4096 |
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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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- q_proj |
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- v_proj |
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lora_fan_in_fan_out: false |
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wandb_project: stable-alpaca-3b |
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wandb_watch: |
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wandb_run_id: |
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wandb_log_model: checkpoint |
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output_dir: ./stable-alpaca-3b |
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batch_size: 2 |
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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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torchdistx_path: |
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lr_scheduler: cosine |
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learning_rate: 0.0000002 |
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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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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: true |
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flash_attention: |
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gptq_groupsize: |
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gptq_model_v1: |
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warmup_steps: 100 |
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eval_steps: 50 |
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save_steps: 200 |
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debug: |
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deepspeed: |
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weight_decay: 0.01 |
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fsdp: |
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fsdp_config: |
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