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lgk03/WITHINAPPS_NDD-dimeshift_test-content_tags-CWAdj
WITHINAPPS_NDD-dimeshift_test-content_tags-CWAdj is a text classification model from lgk03. 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-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 | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 0.9897 | 72 | 0.4690 | 0.7003 | 0.7691 | 0.9344 | 0.7003 |
| No log | 1.9931 | 145 | 0.4103 | 0.8242 | 0.8594 | 0.9309 | 0.8242 |
| No log | 2.9966 | 218 | 0.3634 | 0.7709 | 0.8220 | 0.9385 | 0.7709 |
| No log | 4.0 | 291 | 0.3513 | 0.7713 | 0.8224 | 0.9385 | 0.7713 |
| No log | 4.9485 | 360 | 0.3418 | 0.7713 | 0.8224 | 0.9385 | 0.7713 |