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my-model-Bertin-Area

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lBober/my-model-Bertin-Area

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  1. README.md +25 -25
  2. model.safetensors +1 -1
  3. runs/May26_10-18-21_04e338bea0e4/events.out.tfevents.1716718702.04e338bea0e4.8602.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0387
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- - Accuracy: 0.6403
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- - F1: 0.6388
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- - Precision: 0.6549
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- - Recall: 0.6403
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  ## Model description
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@@ -55,26 +55,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 1.7851 | 1.0 | 22 | 1.7324 | 0.3381 | 0.2327 | 0.3338 | 0.3381 |
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- | 1.6204 | 2.0 | 44 | 1.6785 | 0.3165 | 0.2082 | 0.2941 | 0.3165 |
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- | 1.3964 | 3.0 | 66 | 1.4346 | 0.5036 | 0.4611 | 0.4823 | 0.5036 |
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- | 0.9218 | 4.0 | 88 | 1.2695 | 0.5612 | 0.5181 | 0.4952 | 0.5612 |
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- | 0.4872 | 5.0 | 110 | 1.3801 | 0.6043 | 0.5794 | 0.5676 | 0.6043 |
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- | 0.2341 | 6.0 | 132 | 1.3891 | 0.6115 | 0.5997 | 0.5910 | 0.6115 |
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- | 0.123 | 7.0 | 154 | 1.4263 | 0.6259 | 0.6070 | 0.6180 | 0.6259 |
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- | 0.0737 | 8.0 | 176 | 1.6080 | 0.6331 | 0.6214 | 0.6336 | 0.6331 |
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- | 0.038 | 9.0 | 198 | 1.6996 | 0.6187 | 0.6075 | 0.6016 | 0.6187 |
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- | 0.0278 | 10.0 | 220 | 1.8417 | 0.6475 | 0.6446 | 0.6595 | 0.6475 |
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- | 0.0142 | 11.0 | 242 | 1.7940 | 0.6547 | 0.6543 | 0.6737 | 0.6547 |
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- | 0.0085 | 12.0 | 264 | 1.9102 | 0.6187 | 0.6142 | 0.6273 | 0.6187 |
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- | 0.0035 | 13.0 | 286 | 1.9572 | 0.6403 | 0.6414 | 0.6647 | 0.6403 |
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- | 0.0024 | 14.0 | 308 | 1.9346 | 0.6475 | 0.6441 | 0.6568 | 0.6475 |
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- | 0.0021 | 15.0 | 330 | 1.9751 | 0.6475 | 0.6436 | 0.6606 | 0.6475 |
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- | 0.0017 | 16.0 | 352 | 2.0226 | 0.6547 | 0.6519 | 0.6687 | 0.6547 |
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- | 0.0016 | 17.0 | 374 | 2.0257 | 0.6475 | 0.6458 | 0.6629 | 0.6475 |
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- | 0.0015 | 18.0 | 396 | 2.0326 | 0.6403 | 0.6388 | 0.6549 | 0.6403 |
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- | 0.0014 | 19.0 | 418 | 2.0369 | 0.6403 | 0.6388 | 0.6549 | 0.6403 |
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- | 0.0014 | 20.0 | 440 | 2.0387 | 0.6403 | 0.6388 | 0.6549 | 0.6403 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0081
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+ - Accuracy: 0.5540
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+ - F1: 0.5447
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+ - Precision: 0.6083
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+ - Recall: 0.5540
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 1.8057 | 1.0 | 22 | 1.6694 | 0.3094 | 0.1478 | 0.0971 | 0.3094 |
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+ | 1.6881 | 2.0 | 44 | 1.5645 | 0.3741 | 0.2735 | 0.2381 | 0.3741 |
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+ | 1.4559 | 3.0 | 66 | 1.3527 | 0.5612 | 0.4682 | 0.4308 | 0.5612 |
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+ | 1.0349 | 4.0 | 88 | 1.2698 | 0.5108 | 0.4710 | 0.5251 | 0.5108 |
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+ | 0.5922 | 5.0 | 110 | 1.3228 | 0.5396 | 0.5357 | 0.5761 | 0.5396 |
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+ | 0.3388 | 6.0 | 132 | 1.3421 | 0.5324 | 0.5465 | 0.6025 | 0.5324 |
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+ | 0.1581 | 7.0 | 154 | 1.6898 | 0.5396 | 0.5210 | 0.6214 | 0.5396 |
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+ | 0.0756 | 8.0 | 176 | 1.5726 | 0.5971 | 0.5805 | 0.5852 | 0.5971 |
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+ | 0.0485 | 9.0 | 198 | 1.6224 | 0.5971 | 0.6071 | 0.6341 | 0.5971 |
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+ | 0.0238 | 10.0 | 220 | 1.9468 | 0.5683 | 0.5592 | 0.6588 | 0.5683 |
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+ | 0.0111 | 11.0 | 242 | 1.8085 | 0.5540 | 0.5505 | 0.5994 | 0.5540 |
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+ | 0.0043 | 12.0 | 264 | 1.7379 | 0.5755 | 0.5672 | 0.6076 | 0.5755 |
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+ | 0.0029 | 13.0 | 286 | 1.9594 | 0.5612 | 0.5527 | 0.6202 | 0.5612 |
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+ | 0.0024 | 14.0 | 308 | 2.0399 | 0.5683 | 0.5606 | 0.6429 | 0.5683 |
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+ | 0.0021 | 15.0 | 330 | 1.9871 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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+ | 0.002 | 16.0 | 352 | 1.9870 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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+ | 0.0018 | 17.0 | 374 | 1.9927 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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+ | 0.0018 | 18.0 | 396 | 2.0027 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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+ | 0.0017 | 19.0 | 418 | 2.0077 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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+ | 0.0017 | 20.0 | 440 | 2.0081 | 0.5540 | 0.5447 | 0.6083 | 0.5540 |
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  ### Framework versions
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