Commit ·
df3a2c7
1
Parent(s): 9bb51c5
Upload 8 files
Browse files- README.md +21 -0
- adapter_config.json +22 -0
- adapter_model.bin +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1819 -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.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": "HyperbeeAI/Tulpar-7b-v1",
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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": 0.05,
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"modules_to_save": null,
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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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"gate_proj",
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"down_proj",
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"up_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 sha256:11cc0aa2369eaa624538480716abd1e218fe9e9b5c7cdfa6db2b2945bbb6576d
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size 92867533
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:efc8ceeb1080161473ae850182221c0fb446661ccf1298337c20f3975238d3f9
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size 185759493
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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:eafe26b8308c92c918da4a9e18b8f027e0c1211eb894d641d1dee0d8155f1951
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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 sha256:3dd2df8d43e17fb56e08e9080d2d40810571b72775719dc2bf55421ca73b8575
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size 627
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trainer_state.json
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