bert-playground
This model is a fine-tuned version of bert-base-cased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.8178
- Matthews Correlation: 0.6068
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.4401 | 1.0 | 1069 | 0.4155 | 0.5720 |
| 0.3121 | 2.0 | 2138 | 0.6457 | 0.6039 |
| 0.1764 | 3.0 | 3207 | 0.8178 | 0.6068 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for antoinerossupedu/bert-playground
Base model
google-bert/bert-base-casedDataset used to train antoinerossupedu/bert-playground
Evaluation results
- Matthews Correlation on gluevalidation set self-reported0.607