efl-finetuned-cola

This model is a fine-tuned version of nghuyong/ernie-2.0-en on the glue dataset. It achieves the following results on the evaluation set:

• Loss: 0.4688
• Matthews Correlation: 0.6098

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: 64
• eval_batch_size: 64
• 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	134	0.4795	0.5403
No log	2.0	268	0.4061	0.6082
No log	3.0	402	0.4688	0.6098
0.2693	4.0	536	0.5332	0.6050
0.2693	5.0	670	0.6316	0.6098

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 1.18.4
• Tokenizers 0.11.6