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bert-base-uncased-issues-128

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
text-embeddings-inference
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update model card README.md

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@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0452
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- - Micro f1: 0.6366
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- - Macro f1: 0.4724
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  ## Model description
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@@ -47,26 +47,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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- | 0.1598 | 1.0 | 409 | 0.0850 | 0.0 | 0.0 |
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- | 0.0855 | 2.0 | 818 | 0.0821 | 0.0 | 0.0 |
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- | 0.0821 | 3.0 | 1227 | 0.0779 | 0.0597 | 0.0077 |
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- | 0.074 | 4.0 | 1636 | 0.0698 | 0.1035 | 0.0136 |
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- | 0.0629 | 5.0 | 2045 | 0.0617 | 0.3306 | 0.0760 |
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- | 0.0526 | 6.0 | 2454 | 0.0563 | 0.3902 | 0.0940 |
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- | 0.0444 | 7.0 | 2863 | 0.0519 | 0.4391 | 0.1331 |
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- | 0.0371 | 8.0 | 3272 | 0.0496 | 0.5174 | 0.1892 |
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- | 0.0309 | 9.0 | 3681 | 0.0462 | 0.5491 | 0.2159 |
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- | 0.026 | 10.0 | 4090 | 0.0450 | 0.5751 | 0.2779 |
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- | 0.0221 | 11.0 | 4499 | 0.0444 | 0.6076 | 0.3317 |
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- | 0.0185 | 12.0 | 4908 | 0.0434 | 0.6130 | 0.3825 |
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- | 0.0157 | 13.0 | 5317 | 0.0427 | 0.6349 | 0.3822 |
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- | 0.013 | 14.0 | 5726 | 0.0426 | 0.6257 | 0.4027 |
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- | 0.011 | 15.0 | 6135 | 0.0429 | 0.6290 | 0.4188 |
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- | 0.0094 | 16.0 | 6544 | 0.0444 | 0.6185 | 0.4171 |
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- | 0.0084 | 17.0 | 6953 | 0.0459 | 0.6428 | 0.4676 |
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- | 0.0074 | 18.0 | 7362 | 0.0441 | 0.64 | 0.4796 |
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- | 0.0061 | 19.0 | 7771 | 0.0455 | 0.6436 | 0.4857 |
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- | 0.0058 | 20.0 | 8180 | 0.0452 | 0.6366 | 0.4724 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0420
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+ - Micro f1: 0.6972
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+ - Macro f1: 0.5740
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | 0.1542 | 1.0 | 404 | 0.0850 | 0.0 | 0.0 |
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+ | 0.0853 | 2.0 | 808 | 0.0826 | 0.0 | 0.0 |
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+ | 0.0828 | 3.0 | 1212 | 0.0776 | 0.0 | 0.0 |
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+ | 0.0734 | 4.0 | 1616 | 0.0673 | 0.1735 | 0.0294 |
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+ | 0.061 | 5.0 | 2020 | 0.0597 | 0.3500 | 0.0797 |
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+ | 0.049 | 6.0 | 2424 | 0.0556 | 0.4449 | 0.1180 |
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+ | 0.0398 | 7.0 | 2828 | 0.0497 | 0.5027 | 0.1615 |
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+ | 0.0321 | 8.0 | 3232 | 0.0472 | 0.5609 | 0.2498 |
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+ | 0.0261 | 9.0 | 3636 | 0.0481 | 0.5212 | 0.2442 |
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+ | 0.0218 | 10.0 | 4040 | 0.0441 | 0.6238 | 0.3251 |
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+ | 0.0182 | 11.0 | 4444 | 0.0423 | 0.6346 | 0.3880 |
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+ | 0.0154 | 12.0 | 4848 | 0.0412 | 0.6573 | 0.4223 |
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+ | 0.0126 | 13.0 | 5252 | 0.0419 | 0.6586 | 0.4570 |
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+ | 0.0109 | 14.0 | 5656 | 0.0416 | 0.6646 | 0.4813 |
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+ | 0.0092 | 15.0 | 6060 | 0.0401 | 0.6677 | 0.5041 |
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+ | 0.0079 | 16.0 | 6464 | 0.0412 | 0.6859 | 0.5323 |
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+ | 0.0068 | 17.0 | 6868 | 0.0435 | 0.6667 | 0.5372 |
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+ | 0.0059 | 18.0 | 7272 | 0.0452 | 0.6735 | 0.5617 |
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+ | 0.0053 | 19.0 | 7676 | 0.0420 | 0.6735 | 0.5590 |
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+ | 0.0042 | 20.0 | 8080 | 0.0420 | 0.6972 | 0.5740 |
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  ### Framework versions