clasificador-tweets
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0622
- Accuracy: 0.7021
Model description
En este apartado habr铆a que describir en detalle el modelo
Intended uses & limitations
En este apartado ser铆a necesario explicar para qu茅 se puede usar el modelo y cu谩les son sus limitaciones
Training and evaluation data
Aqu铆 habr铆a que aportar informaci贸n sobre el entrenamiento y la evaluaci贸n del modelo
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 23 | 1.7633 | 0.3404 |
| No log | 2.0 | 46 | 1.6195 | 0.5106 |
| No log | 3.0 | 69 | 1.4145 | 0.5319 |
| No log | 4.0 | 92 | 1.2612 | 0.6170 |
| No log | 5.0 | 115 | 1.1615 | 0.6383 |
| No log | 6.0 | 138 | 1.0982 | 0.6383 |
| No log | 7.0 | 161 | 1.1311 | 0.6809 |
| No log | 8.0 | 184 | 1.0435 | 0.7021 |
| No log | 9.0 | 207 | 1.0331 | 0.7234 |
| No log | 10.0 | 230 | 1.0622 | 0.7021 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
mrm8488/electricidad-base-discriminator