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Hartunka/distilbert_km_10_v1_qnli
distilbert_km_10_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_10_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 |
|---|---|---|---|---|
| 0.6652 | 1.0 | 410 | 0.6419 | 0.6271 |
| 0.6215 | 2.0 | 820 | 0.6319 | 0.6447 |
| 0.5461 | 3.0 | 1230 | 0.6513 | 0.6399 |
| 0.4312 | 4.0 | 1640 | 0.7253 | 0.6396 |
| 0.3133 | 5.0 | 2050 | 0.8582 | 0.6372 |
| 0.2186 | 6.0 | 2460 | 1.0724 | 0.6352 |
| 0.1601 | 7.0 | 2870 | 1.2483 | 0.6361 |