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ltuzova/tapt_helpfulness_base_pretraining_no_condencing
tapt_helpfulness_base_pretraining_no_condencing is a fill-mask model from ltuzova. Use it when you need the model to fill a missing word. 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 |
|---|---|---|---|
| 1.6371 | 1.0 | 112 | 1.4525 |
| 1.5107 | 2.0 | 225 | 1.4102 |
| 1.4871 | 2.99 | 337 | 1.3845 |
| 1.445 | 4.0 | 450 | 1.3778 |
| 1.4412 | 4.99 | 562 | 1.3483 |
| 1.4062 | 6.0 | 675 | 1.3400 |
| 1.4028 | 6.99 | 787 | 1.3190 |
| 1.3837 | 8.0 | 900 | 1.3237 |
| 1.3734 | 9.0 | 1013 | 1.3322 |
| 1.3725 | 9.95 | 1120 | 1.3289 |