46 lines
981 B
YAML
46 lines
981 B
YAML
base_model: decapoda-research/llama-7b-hf-int4
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base_model_config: decapoda-research/llama-7b-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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datasets:
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- path: tatsu-lab/alpaca # original alpaca dataset
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type: alpaca
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dataset_prepared_path: data/last_run_prepared
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val_set_size: 0.04
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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: 1024
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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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# - k_proj
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# - o_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:
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output_dir: ./lora-test
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gradient_accumulation_steps: 1
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micro_batch_size: 2
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num_epochs: 3
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warmup_steps: 100
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learning_rate: 0.00003
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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: false
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early_stopping_patience: 3
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resume_from_checkpoint:
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auto_resume_from_checkpoints: true
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local_rank:
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load_4bit: true
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xformers_attention: true
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flash_attention:
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