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: 0.533214904586951
            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: 0.5774
• Matthews Correlation: 0.5332

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.2347	1.0	535	0.5774	0.5332

Framework versions

• Transformers 4.11.0
• Pytorch 1.9.0+cu102
• Datasets 1.12.1
• Tokenizers 0.10.3