metadata
license: apache-2.0
base_model: ibaucells/RoBERTa-ca-CaWikiTC
tags:
- generated_from_trainer
model-index:
- name: test7_balanced_and_sentence
results: []
test7_balanced_and_sentence
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: 2.1090
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8511 | 1.0 | 63 | 2.8392 |
| 2.8303 | 2.0 | 126 | 2.8357 |
| 2.8277 | 3.0 | 189 | 2.8396 |
| 2.7933 | 4.0 | 252 | 2.8123 |
| 2.7264 | 5.0 | 315 | 2.7844 |
| 2.6213 | 6.0 | 378 | 2.7200 |
| 2.513 | 7.0 | 441 | 2.7099 |
| 2.4436 | 8.0 | 504 | 2.5845 |
| 2.0946 | 9.0 | 567 | 2.5724 |
| 1.9708 | 10.0 | 630 | 2.3567 |
| 1.6289 | 11.0 | 693 | 2.3670 |
| 1.5015 | 12.0 | 756 | 2.3716 |
| 1.3488 | 13.0 | 819 | 2.1432 |
| 1.0815 | 14.0 | 882 | 2.2774 |
| 0.9128 | 15.0 | 945 | 2.3228 |
| 0.7779 | 16.0 | 1008 | 2.2310 |
| 0.5918 | 17.0 | 1071 | 2.3602 |
| 0.5215 | 18.0 | 1134 | 2.3472 |
| 0.3969 | 19.0 | 1197 | 2.3990 |
| 0.421 | 20.0 | 1260 | 2.4948 |
| 0.2811 | 21.0 | 1323 | 2.6314 |
| 0.2538 | 22.0 | 1386 | 2.7452 |
| 0.1646 | 23.0 | 1449 | 2.7550 |
| 0.1553 | 24.0 | 1512 | 2.8536 |
| 0.1743 | 25.0 | 1575 | 2.8543 |
| 0.198 | 26.0 | 1638 | 2.9044 |
| 0.1065 | 27.0 | 1701 | 2.9262 |
| 0.0935 | 28.0 | 1764 | 2.8968 |
| 0.0972 | 29.0 | 1827 | 2.9331 |
| 0.1296 | 30.0 | 1890 | 2.9396 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2