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End of training

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README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0967
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- - Accuracy: 0.3183
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- - F1: 0.1610
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  ## Model description
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@@ -50,18 +50,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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- | 0.8251 | 1.0 | 1000 | 0.7583 | 0.6633 | 0.6624 |
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- | 0.6939 | 2.0 | 2000 | 0.8259 | 0.665 | 0.6556 |
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- | 0.5589 | 3.0 | 3000 | 0.8810 | 0.6183 | 0.6174 |
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- | 0.5263 | 4.0 | 4000 | 0.9917 | 0.6508 | 0.6450 |
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- | 0.7039 | 5.0 | 5000 | 1.1402 | 0.555 | 0.5237 |
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- | 0.8468 | 6.0 | 6000 | 1.0453 | 0.57 | 0.5427 |
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- | 0.8583 | 7.0 | 7000 | 1.0540 | 0.5642 | 0.5540 |
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- | 0.8943 | 8.0 | 8000 | 1.0378 | 0.5283 | 0.5211 |
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- | 1.0529 | 9.0 | 9000 | 1.1173 | 0.2983 | 0.1547 |
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- | 1.0982 | 10.0 | 10000 | 1.0932 | 0.385 | 0.1869 |
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- | 1.1001 | 11.0 | 11000 | 1.0935 | 0.385 | 0.1869 |
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- | 1.1005 | 12.0 | 12000 | 1.0967 | 0.3183 | 0.1610 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8036
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+ - Accuracy: 0.685
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+ - F1: 0.6817
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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+ | 1.0352 | 1.0 | 1000 | 0.9705 | 0.5575 | 0.5434 |
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+ | 0.8786 | 2.0 | 2000 | 0.8527 | 0.6 | 0.5990 |
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+ | 0.7943 | 3.0 | 3000 | 0.8156 | 0.6125 | 0.6097 |
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+ | 0.7544 | 4.0 | 4000 | 0.7883 | 0.6508 | 0.6490 |
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+ | 0.713 | 5.0 | 5000 | 0.7780 | 0.6492 | 0.6455 |
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+ | 0.6854 | 6.0 | 6000 | 0.7630 | 0.675 | 0.6728 |
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+ | 0.644 | 7.0 | 7000 | 0.7692 | 0.6733 | 0.6708 |
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+ | 0.6051 | 8.0 | 8000 | 0.7651 | 0.6808 | 0.6782 |
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+ | 0.5926 | 9.0 | 9000 | 0.7566 | 0.6792 | 0.6772 |
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+ | 0.547 | 10.0 | 10000 | 0.7746 | 0.6858 | 0.6830 |
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+ | 0.5197 | 11.0 | 11000 | 0.7924 | 0.6733 | 0.6697 |
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+ | 0.4762 | 12.0 | 12000 | 0.8036 | 0.685 | 0.6817 |
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  ### Framework versions
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