| --- |
| 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: 0.2217 |
| - Accuracy: 95.3248 |
| - Sentence accuracy: 60.9174 |
| |
| ## 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: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy | |
| |:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:| |
| | No log | 0.3663 | 200 | 0.7237 | 85.5158 | 26.0550 | |
| | No log | 0.7326 | 400 | 0.4818 | 89.8049 | 35.5963 | |
| | 1.0871 | 1.0989 | 600 | 0.3723 | 91.5687 | 41.6514 | |
| | 1.0871 | 1.4652 | 800 | 0.3279 | 92.7312 | 44.9541 | |
| | 0.3561 | 1.8315 | 1000 | 0.2988 | 93.3592 | 51.3761 | |
| | 0.3561 | 2.1978 | 1200 | 0.2634 | 94.0673 | 54.8624 | |
| | 0.3561 | 2.5641 | 1400 | 0.2602 | 94.4415 | 54.6789 | |
| | 0.2248 | 2.9304 | 1600 | 0.2505 | 94.5216 | 55.5963 | |
| | 0.2248 | 3.2967 | 1800 | 0.2429 | 94.8557 | 56.1468 | |
| | 0.1569 | 3.6630 | 2000 | 0.2391 | 94.8824 | 56.6972 | |
| | 0.1569 | 4.0293 | 2200 | 0.2377 | 94.9359 | 58.3486 | |
| | 0.1569 | 4.3956 | 2400 | 0.2349 | 95.1096 | 58.5321 | |
| | 0.1158 | 4.7619 | 2600 | 0.2332 | 95.2833 | 59.6330 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.3 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
