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Browse files- README.md +21 -0
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +319 -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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- quant_method: bitsandbytes
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- load_in_8bit: True
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- load_in_4bit: False
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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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- PEFT 0.5.0
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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": "Salesforce/codegen2-7B",
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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": 0.1,
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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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"qkv_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 sha256:7c04de86df921f190ac22d415a2b19276ac84eb4cc97c980c19334f491c28f86
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size 16800302
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d3019146f7c09bdb7ff661d9541a333148e804a2b40305c067d9f1d531247c9
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size 33608634
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d3fd56c8fe6117cf30932b8eaa57e329cd1cbb8b56b715d99f0ba652a8f1fd2
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size 14244
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:58a4539f136f0a60ce25815017a9d9dbffc0f1b9bcdfecf03d6a825ab93b9419
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size 1064
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trainer_state.json
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training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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