Downloads · 30 days
14
3% of all-time downloads
transformer-NLP
onon214/transformer-NLP
transformer-NLP is a fill-mask model from onon214. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
401
Public
Repo size
1.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 24, 2022
- Updated
- Jul 24, 2022
- SHA
- 6812c81f
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. -->
transformer-NLP
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.4503
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: 32
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| 9.8223 | 1.0 | 21 | 9.4635 |
| 9.4003 | 2.0 | 42 | 9.2399 |
| 9.1754 | 3.0 | 63 | 9.0618 |
| 8.9665 | 4.0 | 84 | 8.8478 |
| 8.8297 | 5.0 | 105 | 8.7369 |
| 8.6993 | 6.0 | 126 | 8.6474 |
| 8.6372 | 7.0 | 147 | 8.5848 |
| 8.5375 | 8.0 | 168 | 8.4988 |
| 8.5175 | 9.0 | 189 | 8.4400 |
| 8.4955 | 10.0 | 210 | 8.4503 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Jul 24, 2022
- Updated
- Jul 24, 2022