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sam102400/distilbert-base-uncased-finetuned-emotions-shixm
distilbert-base-uncased-finetuned-emotions-shixm is a text classification model from sam102400. 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/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 | F1 |
|---|---|---|---|---|---|
| 0.9695 | 1.0 | 250 | 0.4927 | 0.8245 | 0.8222 |
| 0.4398 | 2.0 | 500 | 0.3951 | 0.8375 | 0.8359 |
| 0.3643 | 3.0 | 750 | 0.3792 | 0.845 | 0.8437 |
| 0.3211 | 4.0 | 1000 | 0.3872 | 0.8445 | 0.8427 |
| 0.2938 | 5.0 | 1250 | 0.3951 | 0.844 | 0.8429 |