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base_model: ./NeverSleep_Noromaid-13b-v0.1.1/ |
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model_type: LlamaForCausalLM |
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tokenizer_type: LlamaTokenizer |
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is_llama_derived_model: true |
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load_in_8bit: true |
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load_in_4bit: false |
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strict: false |
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datasets: |
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- path: lol/LRP.jsonl |
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type: completion |
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dataset_prepared_path: |
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val_set_size: 0.05 |
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output_dir: ./lora-out5 |
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sequence_len: 4096 |
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sample_packing: false |
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pad_to_sequence_len: false |
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adapter: lora |
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lora_model_dir: |
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lora_r: 256 |
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lora_alpha: 512 |
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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_target_modules: |
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- gate_proj |
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- down_proj |
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- up_proj |
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- q_proj |
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- v_proj |
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- k_proj |
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- o_proj |
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wandb_project: leyleytest4-noro |
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wandb_entity: |
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wandb_watch: |
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wandb_run_id: |
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wandb_log_model: |
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gradient_accumulation_steps: 2 |
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micro_batch_size: 2 |
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num_epochs: 50 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: constant |
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learning_rate: 0.00000025 |
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train_on_inputs: true |
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group_by_length: false |
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bf16: true |
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fp16: false |
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tf32: true |
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gradient_checkpointing: 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: 10 |
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eval_steps: 0.05 |
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eval_table_size: |
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eval_table_max_new_tokens: 128 |
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eval_sample_packing: false |
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save_steps: 65 |
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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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special_tokens: |
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bos_token: "<s>" |
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eos_token: "</s>" |
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unk_token: "<unk>" |