End of training
Browse files- .gitignore +1 -0
- README.md +20 -0
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
- runs/Jul15_06-40-11_84410f70afbf/events.out.tfevents.1689403216.84410f70afbf.1078.0 +3 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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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: bfloat16
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### Framework versions
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- PEFT 0.4.0.dev0
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adapter_config.json
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{
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"base_model_name_or_path": "facebook/opt-350m",
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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": 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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"k_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:52242bb8d60a21ecd43b951e7becb3abf8e27d7bcab5057499d4cefef6a4aab6
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size 3180689
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runs/Jul15_06-40-11_84410f70afbf/events.out.tfevents.1689403216.84410f70afbf.1078.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:385d07e392f6157fdde4fb0e771dd55079b4f42426bec42e5058d10d872c618f
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size 5619
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:00f8db1c2488e3840926ad14637f0fe60aea268cff6d86097e2bcd26b82cdeaa
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size 3963
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