| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs |
| 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 [AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs](https://huggingface.co/AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2729 |
| - Accuracy: 95.5104 |
| - Sentence accuracy: 60.7339 |
| |
| ## 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: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:| |
| | 1.0799 | 1.0 | 546 | 0.3960 | 90.8605 | 37.6147 | |
| | 0.3583 | 2.0 | 1092 | 0.2930 | 93.3725 | 51.9266 | |
| | 0.2307 | 3.0 | 1638 | 0.2578 | 94.1742 | 54.3119 | |
| | 0.1588 | 4.0 | 2184 | 0.2583 | 94.2945 | 52.8440 | |
| | 0.1141 | 5.0 | 2730 | 0.2439 | 94.8557 | 56.5138 | |
| | 0.0831 | 6.0 | 3276 | 0.2520 | 95.2031 | 59.2661 | |
| | 0.0614 | 7.0 | 3822 | 0.2659 | 95.2699 | 58.7156 | |
| | 0.0433 | 8.0 | 4368 | 0.2624 | 95.3234 | 58.8991 | |
| | 0.0315 | 9.0 | 4914 | 0.2714 | 95.5772 | 61.4679 | |
| | 0.0245 | 10.0 | 5460 | 0.2729 | 95.5104 | 60.7339 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.3 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
