Downloads · 30 days
7
2% of all-time downloads
tacl-bert-base-uncased-finetuned-cola
rpanchad/tacl-bert-base-uncased-finetuned-cola
tacl-bert-base-uncased-finetuned-cola is a text classification model from rpanchad. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
320
Public
Repo size
15.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 5, 2023
- Updated
- Apr 5, 2023
- SHA
- 606a29a3
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. -->
tacl-bert-base-uncased-finetuned-cola
This model is a fine-tuned version of cambridgeltl/tacl-bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.6133
- Matthews Correlation: 0.4912
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: 3e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5361 | 1.0 | 713 | 0.5363 | 0.4515 |
| 0.3601 | 2.0 | 1426 | 0.6133 | 0.4912 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Apr 5, 2023
- Updated
- Apr 5, 2023