bert-base-spanish-finetuned-class
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9502
- F1: 0.6807
- Recall: 0.6836
- Accuracy: 0.7034
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: 7.025657733905982e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 173
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 348 | 0.8656 | 0.6480 | 0.6829 | 0.6688 |
| 0.8519 | 2.0 | 696 | 0.8539 | 0.6710 | 0.6902 | 0.6897 |
| 0.4273 | 3.0 | 1044 | 0.9502 | 0.6807 | 0.6836 | 0.7034 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for tonitt97/bert-base-spanish-finetuned-class
Base model
dccuchile/bert-base-spanish-wwm-uncased