End of training
Browse files- README.md +39 -3
- tf_model.h5 +1 -1
README.md
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@@ -13,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [madatnlp/ke-t5-math-py](https://huggingface.co/madatnlp/ke-t5-math-py) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss:
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- Validation Loss:
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 4.2751 | 2.1074 | 0 |
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### Framework versions
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This model is a fine-tuned version of [madatnlp/ke-t5-math-py](https://huggingface.co/madatnlp/ke-t5-math-py) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.4760
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- Validation Loss: 0.7360
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- Epoch: 36
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## Model description
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 4.2751 | 2.1074 | 0 |
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| 2.2716 | 1.7945 | 1 |
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| 1.8889 | 1.5726 | 2 |
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| 1.6760 | 1.3722 | 3 |
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| 1.5021 | 1.3280 | 4 |
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| 1.4369 | 1.2523 | 5 |
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| 1.3352 | 1.0619 | 6 |
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| 1.2749 | 1.1156 | 7 |
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| 1.2170 | 1.0452 | 8 |
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| 1.1713 | 1.0596 | 9 |
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| 1.1410 | 1.0080 | 10 |
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| 1.0884 | 1.0213 | 11 |
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| 1.0508 | 0.9223 | 12 |
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| 0.9933 | 0.9353 | 13 |
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| 0.9871 | 0.8749 | 14 |
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| 0.9251 | 0.9173 | 15 |
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| 0.9282 | 0.8620 | 16 |
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| 0.8849 | 0.8093 | 17 |
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| 0.8613 | 0.7823 | 18 |
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| 0.8322 | 0.8016 | 19 |
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| 0.8070 | 0.8844 | 20 |
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| 0.7737 | 0.7635 | 21 |
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| 0.7465 | 0.8440 | 22 |
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| 0.7178 | 0.7958 | 23 |
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| 0.7036 | 0.7739 | 24 |
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| 0.6813 | 0.7347 | 25 |
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| 0.6597 | 0.7545 | 26 |
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| 0.6427 | 0.7394 | 27 |
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| 0.6154 | 0.7212 | 28 |
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| 0.5892 | 0.7653 | 29 |
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| 0.5696 | 0.7073 | 30 |
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| 0.5644 | 0.6977 | 31 |
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| 0.5307 | 0.6977 | 32 |
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| 0.5159 | 0.7736 | 33 |
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| 0.5131 | 0.8138 | 34 |
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| 0.4812 | 0.7623 | 35 |
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| 0.4760 | 0.7360 | 36 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 831509840
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version https://git-lfs.github.com/spec/v1
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oid sha256:56e9908c1fd0b28cddb5b198f9a740df1aac8c65a510c0da3680c16d7dbf0472
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size 831509840
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