Downloads · 30 days
6
2% of all-time downloads
deberta-finetuned-answer-polarity-7e
GCopoulos/deberta-finetuned-answer-polarity-7e
deberta-finetuned-answer-polarity-7e is a text classification model from GCopoulos. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
246
Public
Repo size
21.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.6 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta
- Access
- Public
- Created
- Jun 1, 2023
- Updated
- Jun 1, 2023
- SHA
- 3e68b073
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. -->
deberta-finetuned-answer-polarity-7e
This model is a fine-tuned version of microsoft/deberta-large on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.2369
- Accuracy: 0.9585
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: 7e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4752 | 1.0 | 944 | 0.3648 | 0.9140 |
| 0.5769 | 2.0 | 1888 | 0.3024 | 0.9402 |
| 0.1312 | 3.0 | 2832 | 0.2369 | 0.9585 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- deberta
- License
- mit
- Created
- Jun 1, 2023
- Updated
- Jun 1, 2023