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roberta-sent-generali
This model was fine-tuned on Roberta Large using a private dataset. It achieves the following results on the evaluation set:
- Loss: 0.4885
- F1: 0.9104
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.355 | 1.0 | 262 | 0.3005 | 0.8829 |
| 0.2201 | 2.0 | 524 | 0.3566 | 0.8930 |
| 0.1293 | 3.0 | 786 | 0.3644 | 0.9193 |
| 0.0662 | 4.0 | 1048 | 0.4202 | 0.9145 |
| 0.026 | 5.0 | 1310 | 0.4885 | 0.9104 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
