Downloads · 30 days
6
2% of all-time downloads
bert-base-uncased-finetuned-learningRate-2-cola-3e-05
yagmurery/bert-base-uncased-finetuned-learningRate-2-cola-3e-05
bert-base-uncased-finetuned-learningRate-2-cola-3e-05 is a text classification model from yagmurery. 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
370
Public
Repo size
2.6 GB
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
- May 5, 2023
- Updated
- May 5, 2023
- SHA
- 13f0eac0
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-learningRate-2-cola-3e-05
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.8555
- Matthews Correlation: 0.5908
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.2022 | 1.0 | 535 | 0.9205 | 0.5285 |
| 0.1155 | 2.0 | 1070 | 0.8555 | 0.5908 |
| 0.1312 | 3.0 | 1605 | 0.9399 | 0.5496 |
| 0.0956 | 4.0 | 2140 | 1.0178 | 0.5577 |
| 0.048 | 5.0 | 2675 | 1.1525 | 0.5528 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 5, 2023
- Updated
- May 5, 2023