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: 0.7652
- Matthews Correlation: 0.5226
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 |
---|---|---|---|---|
0.5232 | 1.0 | 535 | 0.4702 | 0.4412 |
0.3485 | 2.0 | 1070 | 0.4790 | 0.5163 |
0.2392 | 3.0 | 1605 | 0.6466 | 0.5169 |
0.1682 | 4.0 | 2140 | 0.7652 | 0.5226 |
0.1249 | 5.0 | 2675 | 0.8749 | 0.5192 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for patchingfailed/distilbert-base-uncased-finetuned-cola
Base model
distilbert/distilbert-base-uncased
Finetuned
this model
Dataset used to train patchingfailed/distilbert-base-uncased-finetuned-cola
Evaluation results
- Matthews Correlation on gluevalidation set self-reported0.523