Downloads · 30 days
12
2% of all-time downloads
bert-base-uncased-finetuned-lexglue
mayankb96/bert-base-uncased-finetuned-lexglue
bert-base-uncased-finetuned-lexglue is a fill-mask model from mayankb96. 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
577
Public
Repo size
1.8 GB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 21, 2022
- Updated
- Oct 21, 2022
- SHA
- d302c190
Try a prompt
Datasets
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-uncased-finetuned-lexglue
This model is a fine-tuned version of bert-base-uncased on the lex_glue dataset. It achieves the following results on the evaluation set:
- Loss: 1.0125
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7154 | 1.0 | 1250 | 1.1155 |
| 0.9658 | 2.0 | 2500 | 1.0348 |
| 1.0321 | 3.0 | 3750 | 1.0125 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0
- Datasets 2.6.1
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 21, 2022
- Updated
- Oct 21, 2022