End of training
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- training_args.bin +1 -1
README.md
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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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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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| 0.002 | 2.28 | 720 | 0.
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| 0.0004 | 3.29 | 1040 | 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: 0.0019
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0917 | 0.13 | 40 | 0.0298 |
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| 0.0249 | 0.25 | 80 | 0.0229 |
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| 0.0216 | 0.38 | 120 | 0.0205 |
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| 0.0215 | 0.51 | 160 | 0.0186 |
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| 0.0181 | 0.63 | 200 | 0.0160 |
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| 0.0148 | 0.76 | 240 | 0.0140 |
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| 0.0141 | 0.89 | 280 | 0.0131 |
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| 0.0121 | 1.01 | 320 | 0.0120 |
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| 0.0077 | 1.14 | 360 | 0.0109 |
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| 0.0074 | 1.27 | 400 | 0.0101 |
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| 0.0062 | 1.39 | 440 | 0.0102 |
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| 0.0076 | 1.52 | 480 | 0.0093 |
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| 0.0072 | 1.65 | 520 | 0.0084 |
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| 0.005 | 1.77 | 560 | 0.0066 |
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| 0.0052 | 1.9 | 600 | 0.0054 |
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| 0.0033 | 2.03 | 640 | 0.0053 |
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| 0.0023 | 2.15 | 680 | 0.0056 |
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| 0.002 | 2.28 | 720 | 0.0046 |
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| 0.0021 | 2.41 | 760 | 0.0048 |
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| 0.0019 | 2.53 | 800 | 0.0039 |
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| 0.0014 | 2.66 | 840 | 0.0034 |
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| 0.0013 | 2.78 | 880 | 0.0033 |
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| 0.0012 | 2.91 | 920 | 0.0030 |
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| 0.001 | 3.04 | 960 | 0.0026 |
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| 0.0004 | 3.16 | 1000 | 0.0025 |
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| 0.0004 | 3.29 | 1040 | 0.0022 |
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| 0.0002 | 3.42 | 1080 | 0.0021 |
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| 0.0003 | 3.54 | 1120 | 0.0021 |
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| 0.0002 | 3.67 | 1160 | 0.0019 |
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| 0.0003 | 3.8 | 1200 | 0.0019 |
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### Framework versions
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adapter_model.bin
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training_args.bin
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