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adriansanz/p1
p1 is a zero-shot classification model from adriansanz. Use it when you need labels you did not train the model on. 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 projecte-aina/roberta-base-ca-v2-cawikitc 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 | Precision | Recall | F1 | Ratio |
|---|---|---|---|---|---|---|---|---|
| 0.8263 | 0.38 | 10 | 0.8199 | 0.5 | 0.5 | 0.5 | 0.3473 | 0.0163 |
| 0.8283 | 0.75 | 20 | 0.8389 | 0.5 | 0.25 | 0.5 | 0.3333 | 1.0 |
| 0.8167 | 1.13 | 30 | 0.8325 | 0.5 | 0.25 | 0.5 | 0.3333 | 1.0 |
| 0.8183 | 1.51 | 40 | 0.8228 | 0.4973 | 0.2493 | 0.4973 | 0.3321 | 0.9973 |
| 0.8178 | 1.89 | 50 | 0.8254 | 0.5 | 0.25 | 0.5 | 0.3333 | 1.0 |