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mhr2004/roberta-base-anion.train.no.negation.true.irrelevant1e-06-64
roberta-base-anion.train.no.negation.true.irrelevant1e-06-64 is a text classification model from mhr2004. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
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 roberta-base on an unknown 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 |
|---|---|---|---|
| 0.6734 | 1.0 | 358 | 0.5359 |
| 0.526 | 2.0 | 716 | 0.4950 |
| 0.4998 | 3.0 | 1074 | 0.4880 |
| 0.4835 | 4.0 | 1432 | 0.4690 |
| 0.4765 | 5.0 | 1790 | 0.4582 |
| 0.4641 | 6.0 | 2148 | 0.4507 |
| 0.455 | 7.0 | 2506 | 0.4445 |
| 0.4476 | 8.0 | 2864 | 0.4376 |
| 0.4428 | 9.0 | 3222 | 0.4328 |
| 0.4392 | 10.0 | 3580 | 0.4307 |
| 0.4363 | 11.0 | 3938 | 0.4264 |
| 0.4289 | 12.0 | 4296 | 0.4234 |
| 0.4284 | 13.0 | 4654 | 0.4237 |
| 0.4246 | 14.0 | 5012 | 0.4221 |
| 0.4221 | 15.0 | 5370 | 0.4190 |
| 0.418 | 16.0 | 5728 | 0.4177 |
| 0.4188 | 17.0 | 6086 | 0.4169 |
| 0.4169 | 18.0 | 6444 | 0.4149 |
| 0.4146 | 19.0 | 6802 | 0.4145 |
| 0.4157 | 20.0 | 7160 | 0.4136 |
| 0.4124 | 21.0 | 7518 | 0.4138 |
| 0.4096 | 22.0 | 7876 | 0.4129 |
| 0.4098 | 23.0 | 8234 | 0.4128 |
| 0.4099 | 24.0 | 8592 | 0.4121 |
| 0.4058 | 25.0 | 8950 | 0.4119 |
| 0.4074 | 26.0 | 9308 | 0.4118 |
| 0.4071 | 27.0 | 9666 | 0.4110 |
| 0.4085 | 28.0 | 10024 | 0.4107 |
| 0.4052 | 29.0 | 10382 | 0.4104 |
| 0.4063 | 30.0 | 10740 | 0.4105 |