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Hartunka/distilbert_km_50_v1_mrpc
distilbert_km_50_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_km_50_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 |
|---|---|---|---|---|---|---|
| 0.6261 | 1.0 | 15 | 0.6057 | 0.6838 | 0.7994 | 0.7416 |
| 0.5774 | 2.0 | 30 | 0.5999 | 0.6985 | 0.8134 | 0.7559 |
| 0.5242 | 3.0 | 45 | 0.6275 | 0.6838 | 0.8037 | 0.7437 |
| 0.4621 | 4.0 | 60 | 0.6475 | 0.6765 | 0.7692 | 0.7229 |
| 0.3665 | 5.0 | 75 | 0.7384 | 0.6691 | 0.7776 | 0.7234 |
| 0.2353 | 6.0 | 90 | 0.9133 | 0.6397 | 0.7407 | 0.6902 |
| 0.1316 | 7.0 | 105 | 1.1886 | 0.6422 | 0.7491 | 0.6956 |