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: 0.5023
- Matthews Correlation: 0.4819
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: 1.835609128853824e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 15
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5241 | 1.0 | 535 | 0.4830 | 0.4603 |
| 0.3568 | 2.0 | 1070 | 0.5023 | 0.4819 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.0
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Model tree for stuser2023/distilbert-base-uncased-finetuned-cola
Base model
distilbert/distilbert-base-uncased