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BERiT_52000
gngpostalsrvc/BERiT_52000
BERiT_52000 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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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Nov 9, 2022
- Updated
- Nov 9, 2022
- SHA
- ce42994c
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
BERiT_52000
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.6394
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.9728 | 0.19 | 500 | 8.6854 |
| 8.7387 | 0.39 | 1000 | 8.7712 |
| 8.6739 | 0.58 | 1500 | 8.7362 |
| 8.786 | 0.77 | 2000 | 8.7816 |
| 8.6918 | 0.97 | 2500 | 8.6802 |
| 8.595 | 1.16 | 3000 | 8.7086 |
| 8.5342 | 1.36 | 3500 | 8.6558 |
| 8.6484 | 1.55 | 4000 | 8.7442 |
| 8.5594 | 1.74 | 4500 | 8.7238 |
| 8.4791 | 1.94 | 5000 | 8.7073 |
| 8.4489 | 2.13 | 5500 | 8.6470 |
| 8.42 | 2.32 | 6000 | 8.7016 |
| 8.4389 | 2.52 | 6500 | 8.6039 |
| 8.5176 | 2.71 | 7000 | 8.6179 |
| 8.5392 | 2.9 | 7500 | 8.6394 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Nov 9, 2022
- Updated
- Nov 9, 2022