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distilBERT-finetuned-resumes-sections

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
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update model card README.md

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@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Geotrend/distilbert-base-en-fr-cased](https://huggingface.co/Geotrend/distilbert-base-en-fr-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0450
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- - F1: 0.9585
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- - Roc Auc: 0.9774
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- - Accuracy: 0.9557
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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 | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
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- | 0.0518 | 1.0 | 1174 | 0.0368 | 0.9406 | 0.9635 | 0.9302 |
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- | 0.0251 | 2.0 | 2348 | 0.0346 | 0.9375 | 0.9653 | 0.9289 |
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- | 0.0136 | 3.0 | 3522 | 0.0343 | 0.9475 | 0.9707 | 0.9425 |
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- | 0.0096 | 4.0 | 4696 | 0.0326 | 0.9539 | 0.9737 | 0.9468 |
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- | 0.007 | 5.0 | 5870 | 0.0357 | 0.9521 | 0.9740 | 0.9480 |
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- | 0.007 | 6.0 | 7044 | 0.0389 | 0.9509 | 0.9725 | 0.9472 |
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- | 0.0034 | 7.0 | 8218 | 0.0403 | 0.9532 | 0.9746 | 0.9510 |
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- | 0.0033 | 8.0 | 9392 | 0.0422 | 0.9493 | 0.9722 | 0.9468 |
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- | 0.0024 | 9.0 | 10566 | 0.0425 | 0.9512 | 0.9733 | 0.9485 |
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- | 0.0023 | 10.0 | 11740 | 0.0431 | 0.9537 | 0.9743 | 0.9502 |
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- | 0.0019 | 11.0 | 12914 | 0.0457 | 0.9501 | 0.9719 | 0.9463 |
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- | 0.002 | 12.0 | 14088 | 0.0428 | 0.9560 | 0.9751 | 0.9536 |
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- | 0.0012 | 13.0 | 15262 | 0.0435 | 0.9569 | 0.9761 | 0.9553 |
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- | 0.001 | 14.0 | 16436 | 0.0464 | 0.9565 | 0.9759 | 0.9544 |
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- | 0.001 | 15.0 | 17610 | 0.0460 | 0.9574 | 0.9766 | 0.9549 |
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- | 0.0007 | 16.0 | 18784 | 0.0450 | 0.9585 | 0.9774 | 0.9557 |
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- | 0.0003 | 17.0 | 19958 | 0.0481 | 0.9572 | 0.9764 | 0.9553 |
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- | 0.0005 | 18.0 | 21132 | 0.0478 | 0.9576 | 0.9764 | 0.9557 |
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- | 0.0005 | 19.0 | 22306 | 0.0483 | 0.9574 | 0.9766 | 0.9553 |
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- | 0.0005 | 20.0 | 23480 | 0.0481 | 0.9576 | 0.9766 | 0.9557 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Geotrend/distilbert-base-en-fr-cased](https://huggingface.co/Geotrend/distilbert-base-en-fr-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0369
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+ - F1: 0.9652
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+ - Roc Auc: 0.9808
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+ - Accuracy: 0.9621
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
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+ | 0.0509 | 1.0 | 1173 | 0.0331 | 0.9439 | 0.9659 | 0.9356 |
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+ | 0.024 | 2.0 | 2346 | 0.0274 | 0.9550 | 0.9750 | 0.9493 |
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+ | 0.0148 | 3.0 | 3519 | 0.0290 | 0.9493 | 0.9712 | 0.9446 |
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+ | 0.0089 | 4.0 | 4692 | 0.0324 | 0.9492 | 0.9714 | 0.9442 |
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+ | 0.0071 | 5.0 | 5865 | 0.0317 | 0.9540 | 0.9732 | 0.9476 |
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+ | 0.0064 | 6.0 | 7038 | 0.0324 | 0.9527 | 0.9742 | 0.9484 |
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+ | 0.0036 | 7.0 | 8211 | 0.0320 | 0.9574 | 0.9766 | 0.9540 |
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+ | 0.0042 | 8.0 | 9384 | 0.0367 | 0.9528 | 0.9732 | 0.9493 |
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+ | 0.0052 | 9.0 | 10557 | 0.0342 | 0.9563 | 0.9757 | 0.9531 |
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+ | 0.0027 | 10.0 | 11730 | 0.0294 | 0.9629 | 0.9800 | 0.9595 |
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+ | 0.0017 | 11.0 | 12903 | 0.0355 | 0.9605 | 0.9778 | 0.9582 |
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+ | 0.0022 | 12.0 | 14076 | 0.0338 | 0.9627 | 0.9792 | 0.9591 |
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+ | 0.0012 | 13.0 | 15249 | 0.0358 | 0.9609 | 0.9780 | 0.9591 |
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+ | 0.0011 | 14.0 | 16422 | 0.0360 | 0.9618 | 0.9791 | 0.9604 |
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+ | 0.0009 | 15.0 | 17595 | 0.0358 | 0.9648 | 0.9807 | 0.9625 |
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+ | 0.0007 | 16.0 | 18768 | 0.0373 | 0.9627 | 0.9794 | 0.9595 |
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+ | 0.0006 | 17.0 | 19941 | 0.0397 | 0.9597 | 0.9774 | 0.9574 |
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+ | 0.0008 | 18.0 | 21114 | 0.0369 | 0.9652 | 0.9808 | 0.9621 |
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+ | 0.0007 | 19.0 | 22287 | 0.0377 | 0.9646 | 0.9801 | 0.9621 |
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+ | 0.0005 | 20.0 | 23460 | 0.0381 | 0.9639 | 0.9797 | 0.9616 |
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  ### Framework versions