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pabRomero/BERT-finetuned-ner-pablo-just-classifier
BERT-finetuned-ner-pablo-just-classifier is a machine learning model from pabRomero. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors436 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of google-bert/bert-base-uncased on the None 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.6403 | 0.9996 | 652 | 0.4524 | 0.4481 | 0.5957 | 0.5114 | 0.9347 |
| 0.5852 | 1.9992 | 1304 | 0.3430 | 0.4741 | 0.6281 | 0.5404 | 0.9373 |
| 0.3808 | 2.9989 | 1956 | 0.1826 | 0.6355 | 0.6417 | 0.6386 | 0.9550 |