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bert-xxl-incl
This model is a fine-tuned version of dbmdz/bert-base-italian-xxl-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0005
- Acc: 1.0
- F1 Macro: 1.0
- F1 Weight: 1.0
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: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc | F1 Macro | F1 Weight |
|---|---|---|---|---|---|---|
| 0.6075 | 2.5 | 20 | 0.2080 | 0.9853 | 0.9851 | 0.9853 |
| 0.0448 | 5.0 | 40 | 0.0012 | 1.0 | 1.0 | 1.0 |
| 0.001 | 7.5 | 60 | 0.0005 | 1.0 | 1.0 | 1.0 |
| 0.0007 | 10.0 | 80 | 0.0005 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
