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mr-rov/anti_semic_test_trainer
anti_semic_test_trainer is a text classification model from mr-rov. 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:
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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 68 | 0.4601 | 0.8370 | 0.7963 | 0.8776 | 0.7288 |
| No log | 2.0 | 136 | 0.4343 | 0.7926 | 0.8056 | 0.6824 | 0.9831 |
| No log | 3.0 | 204 | 0.4401 | 0.8370 | 0.8333 | 0.7534 | 0.9322 |
| No log | 4.0 | 272 | 0.4575 | 0.8889 | 0.8780 | 0.8438 | 0.9153 |
| No log | 5.0 | 340 | 0.5199 | 0.8444 | 0.8108 | 0.8654 | 0.7627 |
| No log | 6.0 | 408 | 0.5788 | 0.8222 | 0.7692 | 0.8889 | 0.6780 |
| No log | 7.0 | 476 | 0.5212 | 0.8519 | 0.8214 | 0.8679 | 0.7797 |