HATE_Pfinal_2e-5_16_2
This model is a fine-tuned version of Hate-speech-CNERG/dehatebert-mono-spanish on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2569
- F1: 0.6748
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.3025 | 1.0 | 669 | 0.2434 | 0.6724 |
| 0.2559 | 2.0 | 1338 | 0.2569 | 0.6748 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3