distilbert-finetuned-spanish-offensive-language
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: 0.3661
- Accuracy: 0.8779
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3769 | 1.0 | 1046 | 1.1300 | 0.7130 |
| 0.2822 | 2.0 | 2092 | 1.0136 | 0.7778 |
| 0.2152 | 3.0 | 3138 | 1.0965 | 0.7593 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for Brandon-h/distilbert-finetuned-spanish-offensive-language
Base model
dccuchile/distilbert-base-spanish-uncased