Downloads · 30 days
10
3% of all-time downloads
bert-base-cased-wikitext2
who-does/bert-base-cased-wikitext2
bert-base-cased-wikitext2 is a fill-mask model from who-does. 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. --
All-time downloads
349
Public
Parameters
108M
3.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors433 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 15, 2024
- Updated
- Mar 15, 2024
- SHA
- 6f68b1bb
Try a prompt
Base models
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. -->
bert-base-cased-wikitext2
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.9408
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.1683 | 1.0 | 1173 | 7.1091 |
| 7.0142 | 2.0 | 2346 | 6.9762 |
| 6.9247 | 3.0 | 3519 | 6.9357 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 15, 2024
- Updated
- Mar 15, 2024