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Hartunka/distilbert_rand_5_v1_mrpc
distilbert_rand_5_v1_mrpc 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_rand_5_v1 on the GLUE MRPC 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 | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.6291 | 1.0 | 15 | 0.5983 | 0.6912 | 0.8013 | 0.7462 |
| 0.5735 | 2.0 | 30 | 0.5877 | 0.6936 | 0.7954 | 0.7445 |
| 0.5095 | 3.0 | 45 | 0.6555 | 0.6936 | 0.8013 | 0.7474 |
| 0.4245 | 4.0 | 60 | 0.7127 | 0.6667 | 0.7622 | 0.7145 |
| 0.2889 | 5.0 | 75 | 0.9768 | 0.6005 | 0.6835 | 0.6420 |
| 0.1826 | 6.0 | 90 | 1.1933 | 0.5882 | 0.6693 | 0.6288 |
| 0.1083 | 7.0 | 105 | 1.4464 | 0.6495 | 0.7460 | 0.6978 |