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salohnana2018/OTE-DAPT-CAMEL-MSA-HARD-6580SUBSAMPLE-run2
OTE-DAPT-CAMEL-MSA-HARD-6580SUBSAMPLE-run2 is a token classification model from salohnana2018. 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 salohnana2018/HARD_without_dp_6580_camel_prepocessed_OTE on the None dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1501 | 1.0 | 121 | 0.1161 | 0.7543 | 0.7618 | 0.7581 | 0.9539 |
| 0.0867 | 2.0 | 242 | 0.1175 | 0.7759 | 0.7658 | 0.7708 | 0.9566 |
| 0.0577 | 3.0 | 363 | 0.1330 | 0.7725 | 0.7733 | 0.7729 | 0.9557 |
| 0.0371 | 4.0 | 484 | 0.1515 | 0.7610 | 0.7902 | 0.7754 | 0.9555 |
| 0.0242 | 5.0 | 605 | 0.1721 | 0.7573 | 0.7912 | 0.7739 | 0.9551 |