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kennethge123/entailed_after_rte-t5-base
entailed_after_rte-t5-base is a text classification model from kennethge123. 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 kennethge123/superglue_rte-t5-base on the bigbench 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 |
|---|---|---|---|---|
| No log | 1.0 | 30 | 0.7892 | 0.5714 |
| No log | 2.0 | 60 | 1.0497 | 0.7143 |
| No log | 3.0 | 90 | 1.5272 | 0.7857 |
| No log | 4.0 | 120 | 0.0498 | 1.0 |
| No log | 5.0 | 150 | 0.0000 | 1.0 |
| No log | 6.0 | 180 | 0.0000 | 1.0 |
| No log | 7.0 | 210 | 0.0000 | 1.0 |
| No log | 8.0 | 240 | 0.0000 | 1.0 |
| No log | 9.0 | 270 | 0.0000 | 1.0 |
| No log | 10.0 | 300 | 0.0000 | 1.0 |
| No log | 11.0 | 330 | 0.0000 | 1.0 |
| No log | 12.0 | 360 | 0.0000 | 1.0 |
| No log | 13.0 | 390 | 0.0000 | 1.0 |
| No log | 14.0 | 420 | 0.0000 | 1.0 |
| No log | 15.0 | 450 | 0.0000 | 1.0 |
| No log | 16.0 | 480 | 0.0000 | 1.0 |
| 0.1757 | 17.0 | 510 | 0.0000 | 1.0 |
| 0.1757 | 18.0 | 540 | 0.0000 | 1.0 |
| 0.1757 | 19.0 | 570 | 0.0000 | 1.0 |
| 0.1757 | 20.0 | 600 | 0.0000 | 1.0 |