results
This model is a fine-tuned version of dbmdz/bert-base-italian-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0679
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| No log | 1.0 | 102 | 0.1485 |
| No log | 2.0 | 204 | 0.0772 |
| No log | 3.0 | 306 | 0.0679 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
dbmdz/bert-base-italian-uncased