| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google-bert/bert-base-multilingual-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: trainer_output |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # trainer_output |
| |
| This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7560 |
| - Accuracy: 90.8827 |
| - Sentence accuracy: 43.3962 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 25 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:| |
| | No log | 1.0 | 424 | 0.7115 | 83.5060 | 21.9340 | |
| | 1.328 | 2.0 | 848 | 0.5284 | 87.0493 | 29.2453 | |
| | 0.5876 | 3.0 | 1272 | 0.4704 | 88.1683 | 32.3113 | |
| | 0.3902 | 4.0 | 1696 | 0.4611 | 88.3133 | 33.4906 | |
| | 0.2749 | 5.0 | 2120 | 0.4642 | 89.3908 | 34.6698 | |
| | 0.2048 | 6.0 | 2544 | 0.4390 | 90.0539 | 37.5 | |
| | 0.2048 | 7.0 | 2968 | 0.4986 | 90.0746 | 37.9717 | |
| | 0.1499 | 8.0 | 3392 | 0.5226 | 89.9503 | 36.7925 | |
| | 0.1157 | 9.0 | 3816 | 0.5605 | 90.0332 | 38.4434 | |
| | 0.0851 | 10.0 | 4240 | 0.5399 | 90.3440 | 38.6792 | |
| | 0.0689 | 11.0 | 4664 | 0.6035 | 90.3440 | 42.2170 | |
| | 0.0499 | 12.0 | 5088 | 0.5832 | 90.5719 | 41.7453 | |
| | 0.0381 | 13.0 | 5512 | 0.6360 | 90.5097 | 42.2170 | |
| | 0.0381 | 14.0 | 5936 | 0.6389 | 90.9449 | 42.9245 | |
| | 0.0253 | 15.0 | 6360 | 0.6686 | 90.7998 | 42.6887 | |
| | 0.0198 | 16.0 | 6784 | 0.7092 | 90.5097 | 42.2170 | |
| | 0.0142 | 17.0 | 7208 | 0.6949 | 90.7791 | 42.6887 | |
| | 0.0105 | 18.0 | 7632 | 0.7071 | 90.9863 | 43.3962 | |
| | 0.0087 | 19.0 | 8056 | 0.7116 | 90.8413 | 43.6321 | |
| | 0.0087 | 20.0 | 8480 | 0.7549 | 90.7377 | 41.9811 | |
| | 0.005 | 21.0 | 8904 | 0.7310 | 90.7377 | 43.8679 | |
| | 0.0041 | 22.0 | 9328 | 0.7560 | 90.8827 | 43.3962 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.3 |
| - Pytorch 2.11.0+cu130 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
