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clasificador-ser-estar-window-3-bert-base

Text Classification
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bert
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  1. README.md +28 -28
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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  library_name: transformers
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- license: cc-by-4.0
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- base_model: bertin-project/bertin-roberta-base-spanish
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # clasificador-ser-estar-window-3-bert-base
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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: 0.4157
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- - F1 Score: 0.8543
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- - Recall: 0.9030
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- - Precision: 0.8106
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- - Roc Auc: 0.8863
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  ## Model description
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@@ -56,26 +56,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 Score | Recall | Precision | Roc Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 25 | 0.6771 | 0.7465 | 1.0 | 0.5955 | 0.6521 |
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- | No log | 2.0 | 50 | 0.5844 | 0.8035 | 0.9662 | 0.6877 | 0.8265 |
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- | No log | 3.0 | 75 | 0.4922 | 0.7736 | 0.7426 | 0.8073 | 0.8561 |
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- | No log | 4.0 | 100 | 0.4157 | 0.8543 | 0.9030 | 0.8106 | 0.8863 |
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- | No log | 5.0 | 125 | 0.4810 | 0.7824 | 0.7511 | 0.8165 | 0.8607 |
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- | No log | 6.0 | 150 | 0.5954 | 0.8110 | 0.8059 | 0.8162 | 0.8225 |
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- | No log | 7.0 | 175 | 0.4667 | 0.8384 | 0.8650 | 0.8135 | 0.8697 |
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- | No log | 8.0 | 200 | 0.4872 | 0.8370 | 0.8776 | 0.8 | 0.8737 |
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- | No log | 9.0 | 225 | 0.6294 | 0.8488 | 0.9241 | 0.7849 | 0.8860 |
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- | No log | 10.0 | 250 | 0.5427 | 0.8167 | 0.8270 | 0.8066 | 0.8718 |
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- | No log | 11.0 | 275 | 0.6137 | 0.8511 | 0.9283 | 0.7857 | 0.8900 |
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- | No log | 12.0 | 300 | 0.6227 | 0.8444 | 0.8819 | 0.8101 | 0.8876 |
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- | No log | 13.0 | 325 | 0.7103 | 0.8151 | 0.8186 | 0.8117 | 0.8313 |
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- | No log | 14.0 | 350 | 0.5943 | 0.8433 | 0.9198 | 0.7786 | 0.8752 |
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- | No log | 15.0 | 375 | 0.6720 | 0.8413 | 0.8945 | 0.7940 | 0.8826 |
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- | No log | 16.0 | 400 | 0.7007 | 0.8466 | 0.9198 | 0.7842 | 0.8782 |
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- | No log | 17.0 | 425 | 0.7580 | 0.8454 | 0.9114 | 0.7883 | 0.8816 |
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- | No log | 18.0 | 450 | 0.7789 | 0.8454 | 0.9114 | 0.7883 | 0.8803 |
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- | No log | 19.0 | 475 | 0.7755 | 0.8482 | 0.9198 | 0.7870 | 0.8808 |
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- | 0.2871 | 20.0 | 500 | 0.7752 | 0.8488 | 0.9241 | 0.7849 | 0.8797 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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+ license: apache-2.0
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+ base_model: google-bert/bert-base-multilingual-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # clasificador-ser-estar-window-3-bert-base
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+ This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4416
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+ - F1 Score: 0.8648
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+ - Recall: 0.9578
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+ - Precision: 0.7882
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+ - Roc Auc: 0.8802
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Score | Recall | Precision | Roc Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 25 | 0.6602 | 0.7465 | 1.0 | 0.5955 | 0.6476 |
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+ | No log | 2.0 | 50 | 0.5149 | 0.8342 | 0.9873 | 0.7222 | 0.8281 |
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+ | No log | 3.0 | 75 | 0.4397 | 0.8561 | 0.9916 | 0.7532 | 0.8710 |
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+ | No log | 4.0 | 100 | 0.4293 | 0.8566 | 0.9325 | 0.7921 | 0.8897 |
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+ | No log | 5.0 | 125 | 0.4076 | 0.8566 | 0.9325 | 0.7921 | 0.8882 |
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+ | No log | 6.0 | 150 | 0.4416 | 0.8648 | 0.9578 | 0.7882 | 0.8802 |
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+ | No log | 7.0 | 175 | 0.4894 | 0.8499 | 0.9198 | 0.7899 | 0.8800 |
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+ | No log | 8.0 | 200 | 0.5129 | 0.8577 | 0.9283 | 0.7971 | 0.8907 |
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+ | No log | 9.0 | 225 | 0.5474 | 0.8532 | 0.9198 | 0.7956 | 0.8817 |
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+ | No log | 10.0 | 250 | 0.6858 | 0.8377 | 0.8819 | 0.7977 | 0.8750 |
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+ | No log | 11.0 | 275 | 0.6811 | 0.8465 | 0.9072 | 0.7934 | 0.8740 |
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+ | No log | 12.0 | 300 | 0.7265 | 0.8538 | 0.9367 | 0.7845 | 0.8761 |
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+ | No log | 13.0 | 325 | 0.7422 | 0.8532 | 0.9198 | 0.7956 | 0.8825 |
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+ | No log | 14.0 | 350 | 0.8648 | 0.8409 | 0.9030 | 0.7868 | 0.8743 |
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+ | No log | 15.0 | 375 | 0.8326 | 0.8498 | 0.9072 | 0.7993 | 0.8816 |
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+ | No log | 16.0 | 400 | 0.8516 | 0.8504 | 0.9114 | 0.7970 | 0.8776 |
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+ | No log | 17.0 | 425 | 0.8633 | 0.8487 | 0.9114 | 0.7941 | 0.8862 |
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+ | No log | 18.0 | 450 | 0.9064 | 0.8475 | 0.9030 | 0.7985 | 0.8856 |
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+ | No log | 19.0 | 475 | 0.9145 | 0.8475 | 0.9030 | 0.7985 | 0.8856 |
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+ | 0.2549 | 20.0 | 500 | 0.9146 | 0.8475 | 0.9030 | 0.7985 | 0.8860 |
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  ### Framework versions
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