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jhonparra18/bert-base-cased-cv-studio_name-medium
bert-base-cased-cv-studio_name-medium is a text classification model from jhonparra18. 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 bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
Predicts a studio name based on a CV text
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | F1 Macro | Precision Micro | Recall Micro |
|---|---|---|---|---|---|---|---|---|
| 1.4139 | 0.98 | 1000 | 1.3831 | 0.6039 | 0.6039 | 0.4188 | 0.6039 | 0.6039 |
| 1.1561 | 1.96 | 2000 | 1.2386 | 0.6554 | 0.6554 | 0.4743 | 0.6554 | 0.6554 |
| 0.9183 | 2.93 | 3000 | 1.2201 | 0.6576 | 0.6576 | 0.5011 | 0.6576 | 0.6576 |
| 0.677 | 3.91 | 4000 | 1.3478 | 0.6442 | 0.6442 | 0.5206 | 0.6442 | 0.6442 |
| 0.4857 | 4.89 | 5000 | 1.4765 | 0.6393 | 0.6393 | 0.5215 | 0.6393 | 0.6393 |
| 0.3318 | 5.87 | 6000 | 1.6924 | 0.6442 | 0.6442 | 0.5024 | 0.6442 | 0.6442 |
| 0.2273 | 6.84 | 7000 | 1.8645 | 0.6444 | 0.6444 | 0.5060 | 0.6444 | 0.6444 |
| 0.1396 | 7.82 | 8000 | 2.1143 | 0.6381 | 0.6381 | 0.5181 | 0.6381 | 0.6381 |
| 0.0841 | 8.8 | 9000 | 2.2699 | 0.6359 | 0.6359 | 0.5065 | 0.6359 | 0.6359 |
| 0.0598 | 9.78 | 10000 | 2.3310 | 0.6388 | 0.6388 | 0.5001 | 0.6388 | 0.6388 |