distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.7166
- Matthews Correlation: 0.5422
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: 2e-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 |
|---|---|---|---|---|
| 0.5239 | 1.0 | 535 | 0.5124 | 0.4240 |
| 0.3472 | 2.0 | 1070 | 0.4966 | 0.5180 |
| 0.2359 | 3.0 | 1605 | 0.6474 | 0.5174 |
| 0.1723 | 4.0 | 2140 | 0.7166 | 0.5422 |
| 0.1285 | 5.0 | 2675 | 0.8366 | 0.5367 |
Framework versions
- Transformers 4.12.0
- Pytorch 1.8.1+cpu
- Datasets 2.4.0
- Tokenizers 0.10.3
- Downloads last month
- 29
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.