mi-super-modelo_prueba
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6246
- Accuracy: 0.2
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.626 | 0.2 | 5 | 1.6481 | 0.175 |
| 1.618 | 0.4 | 10 | 1.6364 | 0.175 |
| 1.6166 | 0.6 | 15 | 1.6277 | 0.2 |
| 1.6544 | 0.8 | 20 | 1.6251 | 0.2 |
| 1.5931 | 1.0 | 25 | 1.6246 | 0.2 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for ctutiven/mi-super-modelo_prueba
Base model
google-bert/bert-base-cased