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bert-base-multilingual-uncased-classification

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@@ -17,8 +17,8 @@ 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-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: 0.1524
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- - Accuracy: 0.9642
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  ## Model description
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@@ -43,22 +43,37 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 95 | 0.1662 | 0.9543 |
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- | No log | 2.0 | 190 | 0.2257 | 0.9523 |
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- | No log | 3.0 | 285 | 0.1605 | 0.9602 |
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- | No log | 4.0 | 380 | 0.1230 | 0.9622 |
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- | No log | 5.0 | 475 | 0.1428 | 0.9642 |
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- | 0.1204 | 6.0 | 570 | 0.1545 | 0.9622 |
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- | 0.1204 | 7.0 | 665 | 0.1606 | 0.9622 |
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- | 0.1204 | 8.0 | 760 | 0.1432 | 0.9622 |
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- | 0.1204 | 9.0 | 855 | 0.1512 | 0.9622 |
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- | 0.1204 | 10.0 | 950 | 0.1524 | 0.9642 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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: 0.2025
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+ - Accuracy: 0.9563
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 25
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 95 | 0.2181 | 0.9523 |
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+ | No log | 2.0 | 190 | 0.2287 | 0.9543 |
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+ | No log | 3.0 | 285 | 0.2135 | 0.9523 |
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+ | No log | 4.0 | 380 | 0.1975 | 0.9523 |
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+ | No log | 5.0 | 475 | 0.2015 | 0.9563 |
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+ | 0.0475 | 6.0 | 570 | 0.1930 | 0.9523 |
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+ | 0.0475 | 7.0 | 665 | 0.1784 | 0.9563 |
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+ | 0.0475 | 8.0 | 760 | 0.2306 | 0.9563 |
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+ | 0.0475 | 9.0 | 855 | 0.2177 | 0.9543 |
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+ | 0.0475 | 10.0 | 950 | 0.1579 | 0.9563 |
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+ | 0.0353 | 11.0 | 1045 | 0.1645 | 0.9563 |
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+ | 0.0353 | 12.0 | 1140 | 0.2233 | 0.9563 |
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+ | 0.0353 | 13.0 | 1235 | 0.1985 | 0.9523 |
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+ | 0.0353 | 14.0 | 1330 | 0.1932 | 0.9543 |
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+ | 0.0353 | 15.0 | 1425 | 0.2461 | 0.9563 |
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+ | 0.0312 | 16.0 | 1520 | 0.1834 | 0.9563 |
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+ | 0.0312 | 17.0 | 1615 | 0.1821 | 0.9543 |
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+ | 0.0312 | 18.0 | 1710 | 0.1985 | 0.9563 |
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+ | 0.0312 | 19.0 | 1805 | 0.1984 | 0.9583 |
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+ | 0.0312 | 20.0 | 1900 | 0.2036 | 0.9583 |
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+ | 0.0312 | 21.0 | 1995 | 0.1957 | 0.9563 |
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+ | 0.0264 | 22.0 | 2090 | 0.1996 | 0.9563 |
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+ | 0.0264 | 23.0 | 2185 | 0.2041 | 0.9583 |
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+ | 0.0264 | 24.0 | 2280 | 0.2022 | 0.9583 |
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+ | 0.0264 | 25.0 | 2375 | 0.2025 | 0.9563 |
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  ### Framework versions