clasificador-ag_news
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3851
- Accuracy: 0.9234
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3241 | 1.0 | 3174 | 0.4095 | 0.8909 |
| 0.1891 | 2.0 | 6348 | 0.3341 | 0.9223 |
| 0.1157 | 3.0 | 9522 | 0.3851 | 0.9234 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for luis56125/clasificador-ag_news
Base model
google-bert/bert-base-uncased