data2vec-text-base-finetuned-cola
This model is a fine-tuned version of facebook/data2vec-text-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.5254
- Matthews Correlation: 0.5215
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: 7.160701759709141e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 30
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5632 | 1.0 | 535 | 0.5252 | 0.3869 |
| 0.4572 | 2.0 | 1070 | 0.5534 | 0.4758 |
| 0.3905 | 3.0 | 1605 | 0.4962 | 0.5259 |
| 0.3592 | 4.0 | 2140 | 0.5254 | 0.5215 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
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Dataset used to train mrm8488/data2vec-text-base-finetuned-cola
Evaluation results
- Matthews Correlation on glueself-reported0.521