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zonghaoyang/DistilRoBERTa
DistilRoBERTa is a text classification model from zonghaoyang. 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. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.2559 | 1.0 | 1626 | 0.2590 | 0.8987 | 0.6029 | 0.6538 | 0.5595 |
| 0.2191 | 2.0 | 3252 | 0.3010 | 0.8954 | 0.6025 | 0.6305 | 0.5770 |
| 0.1824 | 3.0 | 4878 | 0.4143 | 0.8987 | 0.6190 | 0.6409 | 0.5984 |
| 0.1495 | 4.0 | 6504 | 0.3914 | 0.8864 | 0.5927 | 0.5843 | 0.6014 |
| 0.139 | 5.0 | 8130 | 0.4922 | 0.8904 | 0.5704 | 0.6185 | 0.5292 |
| 0.1144 | 6.0 | 9756 | 0.5297 | 0.8950 | 0.5834 | 0.6414 | 0.5351 |