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bert-base-spanish-wwm-cased-finetuned-tweets
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7879
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5906 | 1.0 | 79 | 3.2810 |
| 3.2611 | 2.0 | 158 | 3.1041 |
| 3.1205 | 3.0 | 237 | 3.0158 |
| 3.0841 | 4.0 | 316 | 2.9630 |
| 3.0003 | 5.0 | 395 | 2.9326 |
| 2.9674 | 6.0 | 474 | 2.9284 |
| 2.9158 | 7.0 | 553 | 2.8591 |
| 2.8713 | 8.0 | 632 | 2.8759 |
| 2.8498 | 9.0 | 711 | 2.7889 |
| 2.8234 | 10.0 | 790 | 2.8310 |
| 2.8148 | 11.0 | 869 | 2.7908 |
| 2.79 | 12.0 | 948 | 2.8175 |
| 2.7951 | 13.0 | 1027 | 2.8349 |
| 2.7686 | 14.0 | 1106 | 2.7745 |
| 2.7525 | 15.0 | 1185 | 2.8086 |
| 2.7295 | 16.0 | 1264 | 2.8231 |
| 2.7281 | 17.0 | 1343 | 2.7800 |
| 2.7247 | 18.0 | 1422 | 2.7439 |
| 2.7426 | 19.0 | 1501 | 2.7913 |
| 2.699 | 20.0 | 1580 | 2.7857 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
