distilbert-base-uncased-finetuned-cola

This model is a fine-tuned version of distilbert-base-uncased on an unkown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0475
• Matthews Correlation: 0.6290

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
No log	1.0	16	1.3863	0.0
No log	2.0	32	1.2695	0.4503
No log	3.0	48	1.1563	0.6110
No log	4.0	64	1.0757	0.6290
No log	5.0	80	1.0475	0.6290

Framework versions

• Transformers 4.9.2
• Pytorch 1.9.0+cu102
• Datasets 1.11.0
• Tokenizers 0.10.3