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gngpostalsrvc/BERiT_27000
BERiT_27000 is a fill-mask model from gngpostalsrvc. 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 |
|---|---|---|---|
| 8.7297 | 0.19 | 500 | 8.5541 |
| 8.5592 | 0.39 | 1000 | 8.5536 |
| 8.4892 | 0.58 | 1500 | 8.5554 |
| 8.5288 | 0.77 | 2000 | 8.4786 |
| 8.5034 | 0.97 | 2500 | 8.4756 |
| 8.3497 | 1.16 | 3000 | 8.4821 |
| 8.4516 | 1.36 | 3500 | 8.4742 |
| 8.4224 | 1.55 | 4000 | 8.3972 |
| 8.3356 | 1.74 | 4500 | 8.4158 |
| 8.3805 | 1.94 | 5000 | 8.3800 |
| 8.2947 | 2.13 | 5500 | 8.4242 |
| 8.2475 | 2.32 | 6000 | 8.4334 |
| 8.2708 | 2.52 | 6500 | 8.3504 |
| 8.2559 | 2.71 | 7000 | 8.4211 |
| 8.3676 | 2.9 | 7500 | 8.3744 |