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reward_model/README.md CHANGED
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+ ---
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+ library_name: peft
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+ ---
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+ ## Training procedure
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+
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - load_in_8bit: False
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+ - load_in_4bit: True
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - llm_int8_enable_fp32_cpu_offload: False
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+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: fp4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float32
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+ ### Framework versions
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+
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+
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+ - PEFT 0.4.0
reward_model/adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "gpt2",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 16,
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+ "lora_dropout": 0.0,
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+ "modules_to_save": [
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+ "scores"
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+ ],
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "revision": null,
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+ "target_modules": [
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+ "c_attn"
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+ ],
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+ "task_type": "SEQ_CLS"
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+ }
reward_model/adapter_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ size 2371004