contenuto_contenitore_ITA
This model is a fine-tuned version of Musixmatch/umberto-commoncrawl-cased-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5303
- F1: 0.7432
- Roc Auc: 0.7832
- Accuracy: 0.6942
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.5931 | 1.0 | 521 | 0.5504 | 0.6764 | 0.7262 | 0.6254 |
| 0.503 | 2.0 | 1042 | 0.5087 | 0.6998 | 0.7493 | 0.6426 |
| 0.4325 | 3.0 | 1563 | 0.5069 | 0.7249 | 0.7691 | 0.6632 |
| 0.3799 | 4.0 | 2084 | 0.5123 | 0.7360 | 0.7767 | 0.6804 |
| 0.3379 | 5.0 | 2605 | 0.5303 | 0.7432 | 0.7832 | 0.6942 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
Musixmatch/umberto-commoncrawl-cased-v1