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wenkai-li/distilroberta-base-finetuned-marktextepoch_35
distilroberta-base-finetuned-marktextepoch_35 is a fill-mask model from wenkai-li. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
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 distilroberta-base on the None 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 |
|---|---|---|---|
| 2.5158 | 1.0 | 1500 | 2.3385 |
| 2.4312 | 2.0 | 3000 | 2.2620 |
| 2.3563 | 3.0 | 4500 | 2.2279 |
| 2.3249 | 4.0 | 6000 | 2.2165 |
| 2.2515 | 5.0 | 7500 | 2.2246 |
| 2.2178 | 6.0 | 9000 | 2.1714 |
| 2.1822 | 7.0 | 10500 | 2.1461 |
| 2.1501 | 8.0 | 12000 | 2.1388 |
| 2.1342 | 9.0 | 13500 | 2.1085 |
| 2.1141 | 10.0 | 15000 | 2.1090 |
| 2.0833 | 11.0 | 16500 | 2.1130 |
| 2.0769 | 12.0 | 18000 | 2.0969 |
| 2.0474 | 13.0 | 19500 | 2.0823 |
| 2.0364 | 14.0 | 21000 | 2.0893 |
| 2.0269 | 15.0 | 22500 | 2.0501 |
| 1.9814 | 16.0 | 24000 | 2.0667 |
| 1.9716 | 17.0 | 25500 | 2.0570 |
| 1.9611 | 18.0 | 27000 | 2.0530 |
| 1.9557 | 19.0 | 28500 | 2.0590 |
| 1.9443 | 20.0 | 30000 | 2.0381 |
| 1.9229 | 21.0 | 31500 | 2.0433 |
| 1.9192 | 22.0 | 33000 | 2.0468 |
| 1.8865 | 23.0 | 34500 | 2.0361 |
| 1.914 | 24.0 | 36000 | 2.0412 |
| 1.867 | 25.0 | 37500 | 2.0165 |
| 1.8724 | 26.0 | 39000 | 2.0152 |
| 1.8644 | 27.0 | 40500 | 2.0129 |
| 1.8685 | 28.0 | 42000 | 2.0183 |
| 1.8458 | 29.0 | 43500 | 2.0082 |
| 1.8653 | 30.0 | 45000 | 1.9939 |
| 1.8584 | 31.0 | 46500 | 2.0015 |
| 1.8396 | 32.0 | 48000 | 1.9924 |
| 1.8399 | 33.0 | 49500 | 2.0102 |
| 1.8363 | 34.0 | 51000 | 1.9946 |
| 1.83 | 35.0 | 52500 | 1.9908 |