| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: ania3000/kubert-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/kubert-from_multilingual](https://huggingface.co/ania3000/kubert-from_multilingual) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.0092 |
| - Accuracy: 69.0856 |
| - Sentence accuracy: 14.7059 |
| |
| ## 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 | 51 | 2.6089 | 51.0885 | 4.9020 | |
| | No log | 2.0 | 102 | 2.0624 | 57.9100 | 6.8627 | |
| | No log | 3.0 | 153 | 1.9063 | 61.9739 | 9.8039 | |
| | No log | 4.0 | 204 | 1.8096 | 62.9898 | 9.8039 | |
| | No log | 5.0 | 255 | 1.8159 | 64.0058 | 10.7843 | |
| | No log | 6.0 | 306 | 1.8145 | 65.4572 | 10.7843 | |
| | No log | 7.0 | 357 | 1.7694 | 66.9086 | 11.7647 | |
| | No log | 8.0 | 408 | 1.8472 | 67.6343 | 13.7255 | |
| | No log | 9.0 | 459 | 1.8234 | 68.7954 | 10.7843 | |
| | 1.2156 | 10.0 | 510 | 1.8620 | 67.6343 | 16.6667 | |
| | 1.2156 | 11.0 | 561 | 1.9227 | 68.9405 | 14.7059 | |
| | 1.2156 | 12.0 | 612 | 1.9168 | 68.9405 | 16.6667 | |
| | 1.2156 | 13.0 | 663 | 1.9321 | 69.2308 | 15.6863 | |
| | 1.2156 | 14.0 | 714 | 1.9782 | 68.5051 | 15.6863 | |
| | 1.2156 | 15.0 | 765 | 2.0042 | 68.7954 | 14.7059 | |
| | 1.2156 | 16.0 | 816 | 2.0225 | 69.0856 | 13.7255 | |
| | 1.2156 | 17.0 | 867 | 2.0092 | 69.0856 | 14.7059 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.3 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
