NanQiangHF
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llama3.1_8b_bwgenerator
Browse files- README.md +8 -9
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.0999 | 0.9730 | 320 | 0.0982 |
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### Framework versions
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1084
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7243 | 0.1373 | 40 | 0.2700 |
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| 0.2306 | 0.2746 | 80 | 0.2057 |
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| 0.1693 | 0.4120 | 120 | 0.1377 |
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| 0.1284 | 0.5493 | 160 | 0.1213 |
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| 0.1176 | 0.6866 | 200 | 0.1148 |
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| 0.1127 | 0.8239 | 240 | 0.1100 |
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| 0.1098 | 0.9613 | 280 | 0.1084 |
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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training_args.bin
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