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mehdie/fine_tuned_mBERT
fine_tuned_mBERT is a text classification model from mehdie. 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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.safetensors711 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased 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 | F1 | F5 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 65 | 0.2964 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 130 | 0.2682 | 0.4737 | 0.4081 | 0.8182 | 0.3333 |
| No log | 3.0 | 195 | 0.2208 | 0.65 | 0.7421 | 0.4906 | 0.9630 |
| No log | 4.0 | 260 | 0.1924 | 0.7273 | 0.7816 | 0.6154 | 0.8889 |
| No log | 5.0 | 325 | 0.1246 | 0.8727 | 0.8788 | 0.8571 | 0.8889 |
| No log | 6.0 | 390 | 0.1142 | 0.8519 | 0.8519 | 0.8519 | 0.8519 |