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platzi/platzi-distilroberta-bases-mrpc-nicolas-gomez
platzi-distilroberta-bases-mrpc-nicolas-gomez is a text classification model from platzi. 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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.safetensors328 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of distilroberta-base on the glue and the mrpc datasets. 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 | F1 |
|---|---|---|---|---|---|
| 0.5097 | 1.09 | 500 | 0.4302 | 0.8480 | 0.8916 |
| 0.3324 | 2.18 | 1000 | 0.7114 | 0.8407 | 0.8889 |