ml-out-glue-cola
This model is a fine-tuned version of Tural/language-modeling-from-scratch-ml on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 1.9269
- Matthews Correlation: 0.2052
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: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for Tural/ml-out-glue-cola
Base model
Tural/language-modeling-from-scratch-mlDataset used to train Tural/ml-out-glue-cola
Evaluation results
- Matthews Correlation on GLUE COLAvalidation set self-reported0.205