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Hartunka/distilbert_km_100_v1_stsb
distilbert_km_100_v1_stsb 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_100_v1 on the GLUE STSB 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 | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 3.0026 | 1.0 | 23 | 2.2273 | 0.2185 | 0.2022 | 0.2103 |
| 1.99 | 2.0 | 46 | 2.6584 | 0.1241 | 0.1102 | 0.1172 |
| 1.8033 | 3.0 | 69 | 2.3175 | 0.2347 | 0.2224 | 0.2286 |
| 1.5606 | 4.0 | 92 | 2.3419 | 0.2693 | 0.2689 | 0.2691 |
| 1.2238 | 5.0 | 115 | 2.5835 | 0.2378 | 0.2314 | 0.2346 |
| 0.9104 | 6.0 | 138 | 2.7263 | 0.2373 | 0.2258 | 0.2315 |