bert-fine-tuned-cola

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

• Loss: 0.8068
• Matthews Correlation: 0.5959

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.4838	1.0	1069	0.5996	0.4637
0.3543	2.0	2138	0.6670	0.5778
0.1948	3.0	3207	0.8068	0.5959

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.9.1+cu102
• Datasets 1.13.4.dev0
• Tokenizers 0.10.3