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bert-base-spanish-wwm-cased-finetuned-NLP-IE-4
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: 0.7825
- Accuracy: 0.4931
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7005 | 1.0 | 9 | 0.6977 | 0.5069 |
| 0.65 | 2.0 | 18 | 0.7035 | 0.4861 |
| 0.6144 | 3.0 | 27 | 0.7189 | 0.4722 |
| 0.5898 | 4.0 | 36 | 0.7859 | 0.4861 |
| 0.561 | 5.0 | 45 | 0.7825 | 0.4931 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
