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germanic_antielite_Dutch

Text Classification
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bert
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End of training

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  1. README.md +14 -9
  2. model.safetensors +1 -1
  3. runs/Nov21_04-15-55_fb19369dd135/events.out.tfevents.1732162557.fb19369dd135.14490.2 +2 -2
README.md CHANGED
@@ -19,9 +19,9 @@ 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-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7833
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- - Accuracy: 0.8299
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- - F1: 0.0833
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  ## Model description
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@@ -46,17 +46,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 97 | 0.4203 | 0.8660 | 0.0 |
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- | 0.3418 | 2.0 | 194 | 0.4251 | 0.8686 | 0.0377 |
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- | 0.3252 | 3.0 | 291 | 0.5385 | 0.8634 | 0.0702 |
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- | 0.2471 | 4.0 | 388 | 0.6629 | 0.8325 | 0.1096 |
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- | 0.1156 | 5.0 | 485 | 0.7833 | 0.8299 | 0.0833 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2547
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+ - Accuracy: 0.8557
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+ - F1: 0.0667
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 97 | 0.6825 | 0.8376 | 0.1127 |
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+ | 0.1766 | 2.0 | 194 | 0.4794 | 0.8428 | 0.0896 |
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+ | 0.2952 | 3.0 | 291 | 0.8158 | 0.8299 | 0.1081 |
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+ | 0.1576 | 4.0 | 388 | 0.9771 | 0.8531 | 0.0952 |
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+ | 0.0718 | 5.0 | 485 | 1.1854 | 0.8247 | 0.0811 |
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+ | 0.0352 | 6.0 | 582 | 1.1599 | 0.8325 | 0.0580 |
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+ | 0.0167 | 7.0 | 679 | 1.2373 | 0.8376 | 0.0308 |
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+ | 0.0058 | 8.0 | 776 | 1.4320 | 0.8015 | 0.0941 |
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+ | 0.0065 | 9.0 | 873 | 1.2486 | 0.8557 | 0.0667 |
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+ | 0.0021 | 10.0 | 970 | 1.2547 | 0.8557 | 0.0667 |
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  ### Framework versions
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