meta-llama/CodeLlama-7b-Instruct-hf-FaVe-rank32-2epochs-v2
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- 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/CodeLlama-7b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Instruct-hf) on the None 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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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.2685 | 10 | 1.
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### Framework versions
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This model is a fine-tuned version of [meta-llama/CodeLlama-7b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Instruct-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3588
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.2685 | 10 | 1.3789 |
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| 1.6221 | 0.5369 | 20 | 0.6015 |
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| 1.6221 | 0.8054 | 30 | 0.5153 |
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| 0.6128 | 1.0738 | 40 | 0.4366 |
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| 0.6128 | 1.3423 | 50 | 0.4192 |
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| 0.4311 | 1.6107 | 60 | 0.3731 |
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| 0.4311 | 1.8792 | 70 | 0.3588 |
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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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