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: 0.6024
- Matthews Correlation: 0.5030
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 268 | 0.4818 | 0.4647 |
| 0.4548 | 2.0 | 536 | 0.4927 | 0.4904 |
| 0.4548 | 3.0 | 804 | 0.5750 | 0.4770 |
| 0.2322 | 4.0 | 1072 | 0.6024 | 0.5030 |
| 0.2322 | 5.0 | 1340 | 0.6697 | 0.5029 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3
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Model tree for xbb123456/distilbert-base-uncased-finetuned-cola
Base model
distilbert/distilbert-base-uncasedDataset used to train xbb123456/distilbert-base-uncased-finetuned-cola
Evaluation results
- Matthews Correlation on gluevalidation set self-reported0.503