End of training
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- adapter_model.bin +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) 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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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0002 | 3.54 | 1120 | 0.
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| 0.0002 | 3.67 | 1160 | 0.
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### Framework versions
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This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0032
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0853 | 0.13 | 40 | 0.0270 |
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| 0.0209 | 0.25 | 80 | 0.0205 |
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| 0.017 | 0.38 | 120 | 0.0178 |
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| 0.016 | 0.51 | 160 | 0.0157 |
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| 0.0129 | 0.63 | 200 | 0.0140 |
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| 0.0129 | 0.76 | 240 | 0.0118 |
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| 0.0108 | 0.89 | 280 | 0.0115 |
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| 0.009 | 1.01 | 320 | 0.0107 |
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| 0.0052 | 1.14 | 360 | 0.0087 |
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| 0.0054 | 1.26 | 400 | 0.0074 |
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| 0.0046 | 1.39 | 440 | 0.0087 |
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| 0.005 | 1.52 | 480 | 0.0074 |
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| 0.0043 | 1.64 | 520 | 0.0061 |
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| 0.0035 | 1.77 | 560 | 0.0056 |
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| 0.003 | 1.9 | 600 | 0.0053 |
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| 0.0026 | 2.02 | 640 | 0.0049 |
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| 0.0021 | 2.15 | 680 | 0.0052 |
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| 0.0027 | 2.28 | 720 | 0.0047 |
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| 0.0015 | 2.4 | 760 | 0.0044 |
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| 0.0013 | 2.53 | 800 | 0.0043 |
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| 0.0009 | 2.66 | 840 | 0.0042 |
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| 0.001 | 2.78 | 880 | 0.0039 |
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| 0.0008 | 2.91 | 920 | 0.0036 |
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| 0.0005 | 3.04 | 960 | 0.0036 |
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| 0.0006 | 3.16 | 1000 | 0.0039 |
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| 0.0005 | 3.29 | 1040 | 0.0033 |
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| 0.0002 | 3.42 | 1080 | 0.0032 |
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| 0.0002 | 3.54 | 1120 | 0.0033 |
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| 0.0002 | 3.67 | 1160 | 0.0031 |
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| 0.0002 | 3.79 | 1200 | 0.0032 |
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### Framework versions
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 268528394
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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