| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: ania3000/kuosbert-from_multilingual |
| 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 [ania3000/kuosbert-from_multilingual](https://huggingface.co/ania3000/kuosbert-from_multilingual) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1742 |
| - Accuracy: 89.6340 |
| - Sentence accuracy: 32.1484 |
| |
| ## 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:|:-----------------:| |
| | 1.5179 | 1.0 | 596 | 1.2402 | 81.9319 | 14.5286 | |
| | 0.5915 | 2.0 | 1192 | 1.0153 | 85.5108 | 21.6383 | |
| | 0.3952 | 3.0 | 1788 | 0.9749 | 87.0280 | 27.2025 | |
| | 0.2929 | 4.0 | 2384 | 0.9609 | 87.7114 | 27.9753 | |
| | 0.2345 | 5.0 | 2980 | 0.9658 | 88.1631 | 29.5209 | |
| | 0.1419 | 6.0 | 3576 | 0.9037 | 88.5569 | 29.3663 | |
| | 0.1123 | 7.0 | 4172 | 0.9257 | 88.4410 | 29.2117 | |
| | 0.0913 | 8.0 | 4768 | 0.9203 | 88.8001 | 31.2210 | |
| | 0.0742 | 9.0 | 5364 | 0.9467 | 88.8117 | 29.2117 | |
| | 0.0616 | 10.0 | 5960 | 0.9320 | 88.5685 | 30.4482 | |
| | 0.0377 | 11.0 | 6556 | 0.9668 | 89.1128 | 32.4575 | |
| | 0.029 | 12.0 | 7152 | 1.0205 | 89.1476 | 31.3756 | |
| | 0.025 | 13.0 | 7748 | 1.0496 | 89.1012 | 31.0665 | |
| | 0.0196 | 14.0 | 8344 | 1.0772 | 89.2750 | 32.7666 | |
| | 0.016 | 15.0 | 8940 | 1.0822 | 89.2865 | 31.8393 | |
| | 0.0099 | 16.0 | 9536 | 1.0900 | 89.4371 | 32.4575 | |
| | 0.0079 | 17.0 | 10132 | 1.0938 | 89.4024 | 31.9938 | |
| | 0.0068 | 18.0 | 10728 | 1.1089 | 89.4255 | 33.0757 | |
| | 0.0059 | 19.0 | 11324 | 1.1300 | 89.1939 | 31.9938 | |
| | 0.005 | 20.0 | 11920 | 1.1247 | 89.5413 | 33.3849 | |
| | 0.0033 | 21.0 | 12516 | 1.1441 | 89.4950 | 31.6847 | |
| | 0.0032 | 22.0 | 13112 | 1.1512 | 89.5298 | 32.1484 | |
| | 0.0025 | 23.0 | 13708 | 1.1675 | 89.7151 | 32.7666 | |
| | 0.0019 | 24.0 | 14304 | 1.1738 | 89.6108 | 32.1484 | |
| | 0.0021 | 25.0 | 14900 | 1.1742 | 89.6340 | 32.1484 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.3 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
