metadata
license: apache-2.0
base_model: ibaucells/RoBERTa-ca-CaWikiTC
tags:
- generated_from_trainer
model-index:
- name: test4_balanced
results: []
test4_balanced
This model is a fine-tuned version of 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