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dtorber
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bert-base-cased

Text Classification
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bert
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  1. README.md +17 -17
  2. runs/Apr26_13-44-02_tardis/events.out.tfevents.1714133222.tardis.182790.1 +3 -0
README.md CHANGED
@@ -18,15 +18,15 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8345
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- - F1 Macro: 0.9216
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- - F1: 0.9508
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- - F1 Neg: 0.8924
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- - Acc: 0.9325
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- - Prec: 0.9321
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- - Recall: 0.9703
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- - Mcc: 0.8451
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- - Millor Epoca: 5
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc | Millor Epoca |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|:------------:|
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- | 0.2657 | 1.0 | 1698 | 0.3480 | 0.9031 | 0.9370 | 0.8692 | 0.915 | 0.9336 | 0.9405 | 0.8063 | 1 |
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- | 0.0983 | 2.0 | 3396 | 0.5281 | 0.9039 | 0.9366 | 0.8712 | 0.915 | 0.9401 | 0.9331 | 0.8078 | 2 |
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- | 0.043 | 3.0 | 5094 | 0.5741 | 0.9016 | 0.9343 | 0.8689 | 0.9125 | 0.9432 | 0.9257 | 0.8036 | 2 |
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- | 0.0239 | 4.0 | 6792 | 0.8465 | 0.9115 | 0.9460 | 0.8770 | 0.925 | 0.9164 | 0.9777 | 0.8282 | 4 |
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- | 0.0134 | 5.0 | 8490 | 0.8345 | 0.9216 | 0.9508 | 0.8924 | 0.9325 | 0.9321 | 0.9703 | 0.8451 | 5 |
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- | 0.0104 | 6.0 | 10188 | 0.9451 | 0.9108 | 0.9431 | 0.8784 | 0.9225 | 0.9312 | 0.9554 | 0.8223 | 5 |
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- | 0.0 | 7.0 | 11886 | 0.9742 | 0.9081 | 0.9412 | 0.875 | 0.92 | 0.9309 | 0.9517 | 0.8167 | 5 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4627
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+ - F1 Macro: 0.8506
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+ - F1: 0.9044
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+ - F1 Neg: 0.7969
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+ - Acc: 0.87
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+ - Prec: 0.8945
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+ - Recall: 0.9145
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+ - Mcc: 0.7018
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+ - Millor Epoca: 7
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc | Millor Epoca |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|:------------:|
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+ | 0.4818 | 1.0 | 1698 | 0.4294 | 0.8184 | 0.8810 | 0.7557 | 0.84 | 0.8810 | 0.8810 | 0.6368 | 1 |
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+ | 0.396 | 2.0 | 3396 | 0.4083 | 0.8364 | 0.8986 | 0.7742 | 0.86 | 0.8763 | 0.9219 | 0.6755 | 2 |
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+ | 0.3536 | 3.0 | 5094 | 0.4110 | 0.8455 | 0.9038 | 0.7871 | 0.8675 | 0.8830 | 0.9257 | 0.6933 | 3 |
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+ | 0.3171 | 4.0 | 6792 | 0.4451 | 0.8408 | 0.9029 | 0.7787 | 0.865 | 0.8746 | 0.9331 | 0.6862 | 3 |
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+ | 0.3195 | 5.0 | 8490 | 0.4440 | 0.8475 | 0.9028 | 0.7922 | 0.8675 | 0.8913 | 0.9145 | 0.6956 | 5 |
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+ | 0.2994 | 6.0 | 10188 | 0.4627 | 0.8403 | 0.8998 | 0.7809 | 0.8625 | 0.8821 | 0.9182 | 0.6824 | 5 |
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+ | 0.3216 | 7.0 | 11886 | 0.4627 | 0.8506 | 0.9044 | 0.7969 | 0.87 | 0.8945 | 0.9145 | 0.7018 | 7 |
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  ### Framework versions
runs/Apr26_13-44-02_tardis/events.out.tfevents.1714133222.tardis.182790.1 ADDED
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+ size 755