46 lines
1.0 KiB
YAML
46 lines
1.0 KiB
YAML
base_model: anon8231489123/vicuna-13b-GPTQ-4bit-128g
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base_model_config: anon8231489123/vicuna-13b-GPTQ-4bit-128g
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model_type: LlamaForCausalLM
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tokenizer_type: LlamaTokenizer
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load_in_8bit: false
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load_4bit: true
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gptq_groupsize: 128
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gptq_model_v1: false
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datasets:
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# https://github.com/vaguenebula/AlpacaDataReflect/blob/main/alpaca_reflect_pruned.json
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- path: data/alpaca_reflect_pruned.jsonl
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type: reflection
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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: 2048
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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-reflect
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batch_size: 8
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micro_batch_size: 2
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num_epochs: 3
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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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local_rank:
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flash_attention: true
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