End of training
Browse files- .gitignore +1 -0
- README.md +20 -0
- adapter_config.json +26 -0
- adapter_model.bin +3 -0
- all_results.json +8 -0
- runs/Jul25_12-36-43_a96f9d5e146d/events.out.tfevents.1690288609.a96f9d5e146d.548.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +115 -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 0.5.0.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": "meta-llama/Llama-2-7b-hf",
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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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"lora_dropout": 0.1,
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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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"q_proj",
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"k_proj",
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"o_proj",
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"v_proj",
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"gate_proj",
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"up_proj",
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"down_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:e67d7745d3aeca35ff3b1c6478fffa90ede3bf05c782597b3761b48c46666b7d
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size 160069389
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all_results.json
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runs/Jul25_12-36-43_a96f9d5e146d/events.out.tfevents.1690288609.a96f9d5e146d.548.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:88189de163fb0f72a476002b0582d2e00b622ca2cfc7644676402829b66d39f9
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size 7043
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train_results.json
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trainer_state.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e7ca42ee048951bf6929c30c03619fb336d7b3f80bbfeacde887d223d12e670
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