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mekjr1/results
results is a text classification model from mekjr1. 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 allenai/longformer-base-4096 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 | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.3194 | 1.0 | 157 | 0.4800 | 0.81 | 0.7827 | 0.9864 | 0.8728 |
| 0.2475 | 2.0 | 314 | 0.3097 | 0.88 | 0.8670 | 0.9667 | 0.9142 |
| 0.1697 | 3.0 | 471 | 0.5044 | 0.859 | 0.8291 | 0.9909 | 0.9028 |
| 0.0833 | 4.0 | 628 | 0.3149 | 0.911 | 0.9243 | 0.9425 | 0.9333 |
| 0.0582 | 5.0 | 785 | 0.5629 | 0.885 | 0.8709 | 0.9697 | 0.9177 |
| 0.029 | 6.0 | 942 | 0.7728 | 0.873 | 0.8541 | 0.9743 | 0.9102 |
| 0.0186 | 7.0 | 1099 | 1.0292 | 0.865 | 0.8355 | 0.9909 | 0.9066 |
| 0.0007 | 8.0 | 1256 | 0.9823 | 0.875 | 0.8508 | 0.9834 | 0.9123 |
| 0.0211 | 9.0 | 1413 | 0.8580 | 0.89 | 0.8708 | 0.9788 | 0.9217 |
| 0.0086 | 10.0 | 1570 | 0.9265 | 0.881 | 0.8604 | 0.9788 | 0.9158 |