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End of training

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  1. README.md +21 -21
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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4583
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  ## Model description
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@@ -51,26 +51,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.2023 | 0.04 | 20 | 2.0520 |
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- | 1.212 | 0.07 | 40 | 0.8926 |
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- | 0.8532 | 0.11 | 60 | 0.7526 |
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- | 0.5953 | 0.14 | 80 | 0.5960 |
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- | 0.3869 | 0.18 | 100 | 0.5596 |
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- | 0.5738 | 0.22 | 120 | 0.5181 |
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- | 0.4281 | 0.25 | 140 | 0.5080 |
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- | 0.6451 | 0.29 | 160 | 0.5146 |
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- | 0.4874 | 0.33 | 180 | 0.4893 |
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- | 0.3588 | 0.36 | 200 | 0.5016 |
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- | 0.5308 | 0.4 | 220 | 0.4816 |
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- | 0.4006 | 0.43 | 240 | 0.4777 |
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- | 0.5958 | 0.47 | 260 | 0.4780 |
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- | 0.4682 | 0.51 | 280 | 0.4685 |
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- | 0.3507 | 0.54 | 300 | 0.4753 |
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- | 0.5079 | 0.58 | 320 | 0.4664 |
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- | 0.3933 | 0.62 | 340 | 0.4626 |
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- | 0.5839 | 0.65 | 360 | 0.4622 |
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- | 0.4543 | 0.69 | 380 | 0.4594 |
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- | 0.3475 | 0.72 | 400 | 0.4583 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4575
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.2038 | 0.04 | 20 | 2.0534 |
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+ | 1.2229 | 0.07 | 40 | 0.8913 |
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+ | 0.8446 | 0.11 | 60 | 0.7965 |
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+ | 0.6032 | 0.14 | 80 | 0.5917 |
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+ | 0.3869 | 0.18 | 100 | 0.5647 |
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+ | 0.5675 | 0.22 | 120 | 0.5179 |
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+ | 0.4314 | 0.25 | 140 | 0.5061 |
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+ | 0.6327 | 0.29 | 160 | 0.5099 |
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+ | 0.4818 | 0.33 | 180 | 0.4879 |
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+ | 0.3499 | 0.36 | 200 | 0.4994 |
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+ | 0.5192 | 0.4 | 220 | 0.4810 |
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+ | 0.4056 | 0.43 | 240 | 0.4780 |
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+ | 0.5974 | 0.47 | 260 | 0.4846 |
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+ | 0.4665 | 0.51 | 280 | 0.4679 |
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+ | 0.3462 | 0.54 | 300 | 0.4755 |
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+ | 0.5084 | 0.58 | 320 | 0.4679 |
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+ | 0.3944 | 0.62 | 340 | 0.4617 |
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+ | 0.5776 | 0.65 | 360 | 0.4620 |
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+ | 0.4503 | 0.69 | 380 | 0.4587 |
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+ | 0.3444 | 0.72 | 400 | 0.4575 |
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  ### Framework versions