metadata
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ABL_trad_2f
results: []
ABL_trad_2f
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: 0.6589
- Accuracy: 0.7588
- F1: 0.7579
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7767 | 1.0 | 4683 | 0.7649 | 0.6539 | 0.6532 |
| 0.6994 | 2.0 | 9366 | 0.7013 | 0.6922 | 0.6907 |
| 0.6426 | 3.0 | 14049 | 0.6683 | 0.7106 | 0.7092 |
| 0.5984 | 4.0 | 18732 | 0.6440 | 0.7226 | 0.7218 |
| 0.5734 | 5.0 | 23415 | 0.6329 | 0.7301 | 0.7291 |
| 0.5274 | 6.0 | 28098 | 0.6229 | 0.7364 | 0.7348 |
| 0.5195 | 7.0 | 32781 | 0.6193 | 0.7444 | 0.7430 |
| 0.4795 | 8.0 | 37464 | 0.6272 | 0.7486 | 0.7468 |
| 0.4548 | 9.0 | 42147 | 0.6228 | 0.7498 | 0.7481 |
| 0.4284 | 10.0 | 46830 | 0.6356 | 0.7534 | 0.7522 |
| 0.4068 | 11.0 | 51513 | 0.6494 | 0.7550 | 0.7541 |
| 0.3788 | 12.0 | 56196 | 0.6589 | 0.7588 | 0.7579 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1