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AleRams/app_prova_1
app_prova_1 is a text classification model from AleRams. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3233 | 0.8 | 300 | 1.2570 | 0.46 |
| 1.3345 | 1.6 | 600 | 1.1174 | 0.5083 |
| 0.8058 | 2.4 | 900 | 0.8762 | 0.635 |
| 0.7172 | 3.2 | 1200 | 0.6472 | 0.7617 |
| 0.7787 | 4.0 | 1500 | 0.4798 | 0.8267 |
| 0.4868 | 4.8 | 1800 | 0.3784 | 0.8483 |
| 0.188 | 5.6 | 2100 | 0.2755 | 0.8967 |
| 0.3602 | 6.4 | 2400 | 0.2220 | 0.91 |
| 0.1426 | 7.2 | 2700 | 0.2077 | 0.9117 |
| 0.2024 | 8.0 | 3000 | 0.1465 | 0.935 |
| 0.1914 | 8.8 | 3300 | 0.1438 | 0.93 |
| 0.0593 | 9.6 | 3600 | 0.1379 | 0.9267 |