Upload folder using huggingface_hub
Browse files- README.md +20 -0
- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1296 -0
- training_args.bin +3 -0
README.md
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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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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: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.5.0.dev0
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "openlm-research/open_llama_3b",
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"bias": "none",
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"fan_in_fan_out": null,
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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": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"up_proj",
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"v_proj",
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"gate_proj",
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"o_proj",
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"k_proj",
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"down_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a11f8c6b674e9e913471abe1f1fb11fe4c76f5c0eb9fc7b955192957ba063b0
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size 50899792
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:488d3c74c13d3f6a503f44d0a7a58c959f74669a68aefa1b90a8b17f8eee16aa
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size 101918533
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:b74995a6af923dc7f679d75189617e1a78bc68a7fa5f611b52499f95fdd38bed
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size 14575
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d24e6ccc821f2d700beba085903183c6e37db7bb536db52800811a5227d712ec
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size 627
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trainer_state.json
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