| --- |
| license: apache-2.0 |
| base_model: ibaucells/RoBERTa-ca-CaWikiTC |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: test4_balanced |
| 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. --> |
|
|
| # test4_balanced |
| |
| This model is a fine-tuned version of [ibaucells/RoBERTa-ca-CaWikiTC](https://huggingface.co/ibaucells/RoBERTa-ca-CaWikiTC) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.7547 |
| |
| ## 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: 10 |
| - eval_batch_size: 10 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 15 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.8374 | 1.0 | 63 | 2.8602 | |
| | 2.8391 | 2.0 | 126 | 2.8558 | |
| | 2.8386 | 3.0 | 189 | 2.8525 | |
| | 2.8184 | 4.0 | 252 | 2.7896 | |
| | 2.6383 | 5.0 | 315 | 2.7301 | |
| | 2.5916 | 6.0 | 378 | 2.6223 | |
| | 2.2213 | 7.0 | 441 | 2.3985 | |
| | 2.0637 | 8.0 | 504 | 2.4005 | |
| | 1.4994 | 9.0 | 567 | 1.9991 | |
| | 1.2747 | 10.0 | 630 | 1.8684 | |
| | 0.8926 | 11.0 | 693 | 1.7539 | |
| | 0.6952 | 12.0 | 756 | 1.9212 | |
| | 0.5747 | 13.0 | 819 | 1.8101 | |
| | 0.5083 | 14.0 | 882 | 1.7709 | |
| | 0.4356 | 15.0 | 945 | 1.7547 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.38.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
|
|
