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aayush7511/cleaned_context_all_sentences_story_seeker
cleaned_context_all_sentences_story_seeker is a text classification model from aayush7511. 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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.safetensors512 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of google/bigbird-roberta-base on an unknown 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 | Auc | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.8594 | 1.0 | 51 | 0.7015 | 0.554 | 0.856 | 0.0 | 0.0 |
| 0.7029 | 2.0 | 102 | 0.6378 | 0.574 | 0.879 | 1.0 | 0.044 |
| 0.6548 | 3.0 | 153 | 0.6240 | 0.693 | 0.892 | 0.938 | 0.333 |
| 0.6565 | 4.0 | 204 | 0.6193 | 0.782 | 0.896 | 0.926 | 0.556 |
| 0.6415 | 5.0 | 255 | 0.6164 | 0.812 | 0.901 | 0.933 | 0.622 |
| 0.6275 | 6.0 | 306 | 0.6140 | 0.832 | 0.905 | 0.938 | 0.667 |
| 0.6279 | 7.0 | 357 | 0.6101 | 0.812 | 0.906 | 0.933 | 0.622 |
| 0.6302 | 8.0 | 408 | 0.6085 | 0.832 | 0.907 | 0.938 | 0.667 |
| 0.6242 | 9.0 | 459 | 0.6071 | 0.822 | 0.907 | 0.935 | 0.644 |
| 0.6343 | 10.0 | 510 | 0.6067 | 0.822 | 0.908 | 0.935 | 0.644 |