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wsklee/distilbert-sentiment-cft
distilbert-sentiment-cft is a text classification model from wsklee. 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 distilbert/distilbert-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 |
|---|---|---|---|---|
| 3.3958 | 0.1733 | 500 | 3.5144 | 0.4997 |
| 3.2344 | 0.3465 | 1000 | 3.5543 | 0.4997 |
| 3.2003 | 0.5198 | 1500 | 3.5403 | 0.4997 |
| 3.172 | 0.6930 | 2000 | 3.5344 | 0.4997 |
| 3.1412 | 0.8663 | 2500 | 3.5140 | 0.4997 |
| 3.0853 | 1.0395 | 3000 | 3.6056 | 0.4997 |
| 3.0575 | 1.2128 | 3500 | 3.5920 | 0.4997 |