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kumbi500/FT_DistilBERT
FT_DistilBERT is a text classification model from kumbi500. 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 an unknown 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 |
|---|---|---|---|---|---|---|---|
| 0.3172 | 1.0 | 1000 | 0.2984 | 0.8745 | 0.8740 | 0.8772 | 0.8734 |
| 0.2419 | 2.0 | 2000 | 0.2519 | 0.8892 | 0.8892 | 0.8904 | 0.8900 |
| 0.2102 | 3.0 | 3000 | 0.2963 | 0.8955 | 0.8955 | 0.8960 | 0.8960 |
| 0.1679 | 4.0 | 4000 | 0.3012 | 0.9005 | 0.9004 | 0.9007 | 0.9002 |
| 0.1569 | 5.0 | 5000 | 0.3147 | 0.8958 | 0.8957 | 0.8958 | 0.8956 |