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base_model: Neko-Institute-of-Science/LLaMA-30B-HF |
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base_model_config: Neko-Institute-of-Science/LLaMA-30B-HF |
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model_type: LlamaForCausalLM |
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tokenizer_type: LlamaTokenizer |
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load_in_8bit: true |
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load_4bit: |
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datasets: |
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- path: practicaldreamer/RPGPT_PublicDomain-ShareGPT |
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data_files: RPGPT_PublicDomain_v3-sharegpt.json |
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type: sharegpt |
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dataset_prepared_path: data/last_run_prepared |
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val_set_size: 0.0025 |
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adapter: lora |
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lora_model_dir: |
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sequence_len: 2048 |
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max_packed_sequence_len: |
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lora_r: 64 |
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lora_alpha: 128 |
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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: |
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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: output_dir |
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batch_size: 128 |
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micro_batch_size: 4 |
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eval_batch_size: 1 |
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num_epochs: 1 |
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warmup_steps: 50 |
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logging_steps: |
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learning_rate: 0.00003 |
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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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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: true |
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early_stopping_patience: 3 |
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resume_from_checkpoint: |
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auto_resume_from_checkpoints: |
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local_rank: |
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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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save_steps: 4 |
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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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fsdp_transformer_layer_cls_to_wrap: |
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fsdp_min_num_params: 2000 |
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fsdp_backward_prefetch: |
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- backward_pre |
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limit_all_gathers: false |
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special_tokens: |
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pad_token: "[PAD]" |
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bos_token: "<s>" |
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eos_token: "</s>" |
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unk_token: "<unk>" |
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