ClasificadorCorreoSoporteDistilEspanol-dataser
This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0999
- Accuracy: 0.9662
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 46 | 0.4498 | 0.8851 |
| No log | 2.0 | 92 | 0.1648 | 0.9527 |
| 0.4424 | 3.0 | 138 | 0.1062 | 0.9662 |
| 0.4424 | 4.0 | 184 | 0.0999 | 0.9662 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 4
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for Arodrigo/ClasificadorCorreoSoporteDistilEspanol-dataser
Base model
dccuchile/distilbert-base-spanish-uncased