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Hartunka/distilbert_km_20_v1_qnli
distilbert_km_20_v1_qnli is a text classification model from Hartunka. Use it when you need a label for a piece of text. It is set up for transformers.
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 Hartunka/distilbert_km_20_v1 on the GLUE QNLI 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 |
|---|---|---|---|---|
| 0.6683 | 1.0 | 410 | 0.6449 | 0.6202 |
| 0.6314 | 2.0 | 820 | 0.6455 | 0.6297 |
| 0.5701 | 3.0 | 1230 | 0.6414 | 0.6323 |
| 0.4664 | 4.0 | 1640 | 0.7199 | 0.6271 |
| 0.3516 | 5.0 | 2050 | 0.8029 | 0.6348 |
| 0.2534 | 6.0 | 2460 | 1.0802 | 0.6187 |
| 0.1873 | 7.0 | 2870 | 1.2883 | 0.6171 |
| 0.1429 | 8.0 | 3280 | 1.3638 | 0.6134 |