bert-finetuned-sem_eval-english
This model is a fine-tuned version of Jairnetojp/content-moderation on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2343
- F1: 0.5458
- Roc Auc: 0.7829
- Accuracy: 0.4655
Model description
More information needed
Intended uses & limitations
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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: 128
- eval_batch_size: 128
- 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 | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 232 | 0.2283 | 0.5361 | 0.7829 | 0.4503 |
| No log | 2.0 | 464 | 0.2343 | 0.5458 | 0.7829 | 0.4655 |
| 0.069 | 3.0 | 696 | 0.2461 | 0.5392 | 0.7832 | 0.4544 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for jairNeto/bert-finetuned-sem_eval-english
Base model
Jairnetojp/content-moderation