README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
base_model: dunlp/GWW
model-index:
  - name: GWW-finetuned-cola
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: glue
          type: glue
          args: cola
        metrics:
          - type: matthews_correlation
            value: 0.16962352015480656
            name: Matthews Correlation

GWW-finetuned-cola

This model is a fine-tuned version of dunlp/GWW on the glue dataset. It achieves the following results on the evaluation set:

• Loss: 0.6609
• Matthews Correlation: 0.1696

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: 16
• eval_batch_size: 16
• 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
0.6181	1.0	535	0.6585	0.0
0.5938	2.0	1070	0.6276	0.0511
0.5241	3.0	1605	0.6609	0.1696
0.4433	4.0	2140	0.8239	0.1432
0.3492	5.0	2675	0.9236	0.1351

Framework versions

• Transformers 4.20.0
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1