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BERTModified-finetuned-wikitext-test
Aisha/BERTModified-finetuned-wikitext-test
BERTModified-finetuned-wikitext-test is a fill-mask model from Aisha. 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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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 30, 2022
- Updated
- Dec 4, 2022
- SHA
- 00ac7849
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. -->
BERTModified-finetuned-wikitext-test
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.7191
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.5075 | 1.0 | 63 | 8.9689 |
| 8.5623 | 2.0 | 126 | 8.1532 |
| 7.8617 | 3.0 | 189 | 7.6296 |
| 7.4107 | 4.0 | 252 | 7.3166 |
| 7.0526 | 5.0 | 315 | 6.9171 |
| 6.8774 | 6.0 | 378 | 6.8958 |
| 6.8026 | 7.0 | 441 | 6.7981 |
| 6.6463 | 8.0 | 504 | 6.7992 |
| 6.6569 | 9.0 | 567 | 6.7409 |
| 6.5931 | 10.0 | 630 | 6.6189 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 30, 2022
- Updated
- Dec 4, 2022