bert-base-spanish-wwm-uncased-2023-11-13-20-51
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0883
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: 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: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.9308 | 0.59 | 500 | 1.7528 |
1.7079 | 1.19 | 1000 | 1.5517 |
1.5614 | 1.78 | 1500 | 1.4558 |
1.4384 | 2.38 | 2000 | 1.3825 |
1.3972 | 2.97 | 2500 | 1.3105 |
1.3532 | 3.56 | 3000 | 1.2872 |
1.3114 | 4.16 | 3500 | 1.2455 |
1.269 | 4.75 | 4000 | 1.2113 |
1.2525 | 5.34 | 4500 | 1.1863 |
1.2171 | 5.94 | 5000 | 1.1597 |
1.1669 | 6.53 | 5500 | 1.1412 |
1.1529 | 7.13 | 6000 | 1.1352 |
1.1532 | 7.72 | 6500 | 1.1115 |
1.1684 | 8.31 | 7000 | 1.1078 |
1.1286 | 8.91 | 7500 | 1.0950 |
1.1416 | 9.5 | 8000 | 1.0948 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for Santp98/bert-base-spanish-wwm-uncased-2023-11-13-20-51
Base model
dccuchile/bert-base-spanish-wwm-uncased