distilbert-base-uncased-finetuned-cola

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

• Loss: 0.6164
• Matthews Correlation: 0.0

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: 128
• eval_batch_size: 128
• 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	7	0.6164	0.0
No log	2.0	14	0.6135	0.0
No log	3.0	21	0.6028	0.0
No log	4.0	28	0.5957	0.0
No log	5.0	35	0.5929	0.0

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cpu
• Datasets 2.10.0
• Tokenizers 0.13.2