tacl-bert-base-uncased-finetuned-cola

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

• Loss: 0.6133
• Matthews Correlation: 0.4912

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: 3e-05
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• 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
0.5361	1.0	713	0.5363	0.4515
0.3601	2.0	1426	0.6133	0.4912

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3