distilbert-base-uncased-finetuned-cola

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

• Loss: 0.5023
• Matthews Correlation: 0.4819

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: 1.835609128853824e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 15
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.5241	1.0	535	0.4830	0.4603
0.3568	2.0	1070	0.5023	0.4819

Framework versions

• Transformers 4.45.0
• Pytorch 2.4.1+cu121
• Datasets 2.21.0
• Tokenizers 0.20.0