Downloads · 30 days
6
2% of all-time downloads
sa_BERT_48_wnli
gokuls/sa_BERT_48_wnli
sa_BERT_48_wnli is a text classification model from gokuls. Use it when you need a label for a piece of text. 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
355
Public
Repo size
876 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 16, 2023
- Updated
- Jun 16, 2023
- SHA
- 4b9e9c24
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. -->
sa_BERT_48_wnli
This model is a fine-tuned version of gokuls/bert_base_48 on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.6900
- Accuracy: 0.5634
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: 4e-05
- train_batch_size: 96
- eval_batch_size: 96
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0146 | 1.0 | 7 | 0.6985 | 0.4085 |
| 0.6963 | 2.0 | 14 | 0.7209 | 0.4366 |
| 0.7005 | 3.0 | 21 | 0.6900 | 0.5634 |
| 0.7029 | 4.0 | 28 | 0.7055 | 0.4366 |
| 0.6987 | 5.0 | 35 | 0.7004 | 0.2817 |
| 0.702 | 6.0 | 42 | 0.6945 | 0.5634 |
| 0.6945 | 7.0 | 49 | 0.7308 | 0.4366 |
| 0.7056 | 8.0 | 56 | 0.6968 | 0.5634 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Jun 16, 2023
- Updated
- Jun 16, 2023