README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - nyu-mll/glue
metrics:
  - matthews_correlation
model-index:
  - name: distilbert-base-uncased-finetuned-cola
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: glue
          type: glue
          args: cola
        metrics:
          - type: matthews_correlation
            value: 0.5158855550567928
            name: Matthews Correlation

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: 0.7572
• Matthews Correlation: 0.5159

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
0.5256	1.0	535	0.5197	0.4033
0.3534	2.0	1070	0.5301	0.4912
0.2402	3.0	1605	0.6680	0.5033
0.1762	4.0	2140	0.7572	0.5159
0.1389	5.0	2675	0.8584	0.5127

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.10.0+cu102
• Datasets 1.13.4.dev0
• Tokenizers 0.10.3