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naamalia23/emotion_model
emotion_model is a text classification model from naamalia23. 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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.safetensors268 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on the emotion 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 |
|---|---|---|---|---|
| 0.2619 | 1.0 | 250 | 0.2343 | 0.916 |
| 0.121 | 2.0 | 500 | 0.1432 | 0.93 |
| 0.1308 | 3.0 | 750 | 0.1565 | 0.9315 |
| 0.1012 | 4.0 | 1000 | 0.1595 | 0.925 |
| 0.0525 | 5.0 | 1250 | 0.1937 | 0.924 |
| 0.0635 | 6.0 | 1500 | 0.2635 | 0.9255 |
| 0.0183 | 7.0 | 1750 | 0.2726 | 0.9195 |
| 0.0156 | 8.0 | 2000 | 0.3324 | 0.9245 |
| 0.0036 | 9.0 | 2250 | 0.3614 | 0.925 |
| 0.011 | 10.0 | 2500 | 0.3611 | 0.927 |