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Hartunka/distilbert_km_20_v1_mnli
distilbert_km_20_v1_mnli 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 MNLI 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 |
|---|---|---|---|---|
| 0.9868 | 1.0 | 1534 | 0.9070 | 0.5720 |
| 0.8748 | 2.0 | 3068 | 0.8332 | 0.6230 |
| 0.7827 | 3.0 | 4602 | 0.7926 | 0.6551 |
| 0.7067 | 4.0 | 6136 | 0.7853 | 0.6665 |
| 0.6383 | 5.0 | 7670 | 0.7827 | 0.6706 |
| 0.568 | 6.0 | 9204 | 0.8366 | 0.6705 |
| 0.4989 | 7.0 | 10738 | 0.8709 | 0.6723 |
| 0.4325 | 8.0 | 12272 | 0.9449 | 0.6688 |
| 0.3708 | 9.0 | 13806 | 1.0840 | 0.6641 |
| 0.3169 | 10.0 | 15340 | 1.1594 | 0.6667 |