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Hartunka/tiny_bert_rand_20_v1_wnli
tiny_bert_rand_20_v1_wnli 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/tiny_bert_rand_20_v1 on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7076 | 1.0 | 3 | 0.7453 | 0.3099 |
| 0.6916 | 2.0 | 6 | 0.7565 | 0.2817 |
| 0.6861 | 3.0 | 9 | 0.7788 | 0.2254 |
| 0.6797 | 4.0 | 12 | 0.8008 | 0.1408 |
| 0.6846 | 5.0 | 15 | 0.8252 | 0.1549 |
| 0.6773 | 6.0 | 18 | 0.8489 | 0.1408 |