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emmabedna/bert-base-multilingual-cased-finetuned-language_classification
bert-base-multilingual-cased-finetuned-language_classification is a token classification model from emmabedna. Use it when you need labels on individual words, such as names. 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 bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 150 | 0.1431 | 0.8415 | 0.8390 | 0.8402 | 0.9649 |
| No log | 2.0 | 300 | 0.0927 | 0.8878 | 0.8905 | 0.8892 | 0.9767 |
| No log | 3.0 | 450 | 0.0876 | 0.8954 | 0.9009 | 0.8982 | 0.9785 |