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bert-finetuned-weibo-luobokuaipao

Text Classification
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bert
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text-embeddings-inference
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End of training

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  1. README.md +22 -22
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.2677
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- - Accuracy: 0.6348
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  ## Model description
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@@ -48,26 +48,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 198 | 2.5581 | 0.5919 |
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- | No log | 2.0 | 396 | 2.2918 | 0.6348 |
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- | 0.2014 | 3.0 | 594 | 1.9679 | 0.6348 |
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- | 0.2014 | 4.0 | 792 | 2.9800 | 0.6196 |
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- | 0.2014 | 5.0 | 990 | 2.6793 | 0.6398 |
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- | 0.1375 | 6.0 | 1188 | 2.8340 | 0.6247 |
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- | 0.1375 | 7.0 | 1386 | 2.5889 | 0.6247 |
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- | 0.1278 | 8.0 | 1584 | 2.3041 | 0.6725 |
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- | 0.1278 | 9.0 | 1782 | 2.5275 | 0.6524 |
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- | 0.1278 | 10.0 | 1980 | 3.1778 | 0.6171 |
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- | 0.0614 | 11.0 | 2178 | 2.8898 | 0.6196 |
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- | 0.0614 | 12.0 | 2376 | 2.7480 | 0.6322 |
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- | 0.028 | 13.0 | 2574 | 3.0678 | 0.6322 |
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- | 0.028 | 14.0 | 2772 | 3.0487 | 0.6448 |
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- | 0.028 | 15.0 | 2970 | 3.2878 | 0.6373 |
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- | 0.0177 | 16.0 | 3168 | 3.1296 | 0.6373 |
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- | 0.0177 | 17.0 | 3366 | 3.2056 | 0.6297 |
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- | 0.0193 | 18.0 | 3564 | 3.2349 | 0.6247 |
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- | 0.0193 | 19.0 | 3762 | 3.2624 | 0.6247 |
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- | 0.0193 | 20.0 | 3960 | 3.2677 | 0.6348 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.3065
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+ - Accuracy: 0.5833
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 270 | 0.9893 | 0.5852 |
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+ | 1.0044 | 2.0 | 540 | 1.0391 | 0.5907 |
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+ | 1.0044 | 3.0 | 810 | 1.2162 | 0.6130 |
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+ | 0.5461 | 4.0 | 1080 | 1.3702 | 0.5667 |
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+ | 0.5461 | 5.0 | 1350 | 1.8272 | 0.5704 |
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+ | 0.349 | 6.0 | 1620 | 2.1860 | 0.5741 |
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+ | 0.349 | 7.0 | 1890 | 2.1618 | 0.5685 |
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+ | 0.2502 | 8.0 | 2160 | 2.5620 | 0.5593 |
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+ | 0.2502 | 9.0 | 2430 | 2.6044 | 0.5667 |
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+ | 0.1651 | 10.0 | 2700 | 3.0138 | 0.5778 |
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+ | 0.1651 | 11.0 | 2970 | 3.1734 | 0.5481 |
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+ | 0.1153 | 12.0 | 3240 | 3.0025 | 0.5759 |
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+ | 0.0893 | 13.0 | 3510 | 3.1646 | 0.5889 |
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+ | 0.0893 | 14.0 | 3780 | 3.0978 | 0.5833 |
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+ | 0.0659 | 15.0 | 4050 | 3.1681 | 0.5741 |
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+ | 0.0659 | 16.0 | 4320 | 3.1982 | 0.5778 |
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+ | 0.0433 | 17.0 | 4590 | 3.2583 | 0.5778 |
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+ | 0.0433 | 18.0 | 4860 | 3.2408 | 0.5778 |
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+ | 0.0396 | 19.0 | 5130 | 3.2881 | 0.5852 |
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+ | 0.0396 | 20.0 | 5400 | 3.3065 | 0.5833 |
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  ### Framework versions