Downloads · 30 days
4
21% of all-time downloads
distilbert-base-uncased-finetuned-cola
lee0704fm/distilbert-base-uncased-finetuned-cola
distilbert-base-uncased-finetuned-cola is a text classification model from lee0704fm. 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
19
Public
Parameters
67M
22.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt15 GB · 66%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- c09f3964
Try a prompt
Base models
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. -->
distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9878
- Matthews Correlation: 0.5162
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: 5.4827443448306174e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| No log | 1.0 | 268 | 0.5749 | 0.3271 |
| 0.4216 | 2.0 | 536 | 0.5394 | 0.5051 |
| 0.4216 | 3.0 | 804 | 0.6267 | 0.4986 |
| 0.1452 | 4.0 | 1072 | 0.7613 | 0.5046 |
| 0.1452 | 5.0 | 1340 | 0.9878 | 0.5162 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025