README.md

metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
model-index:
  - name: deberta-base-mnli-finetuned-cola
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: glue
          type: glue
          args: cola
        metrics:
          - name: Matthews Correlation
            type: matthews_correlation
            value: 0.6281691768918801

deberta-base-mnli-finetuned-cola

This model is a fine-tuned version of microsoft/deberta-base-mnli on the glue dataset. It achieves the following results on the evaluation set:

• Loss: 0.8205
• Matthews Correlation: 0.6282

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
0.4713	1.0	535	0.5110	0.5797
0.2678	2.0	1070	0.6648	0.5154
0.1811	3.0	1605	0.6681	0.6121
0.113	4.0	2140	0.8205	0.6282
0.0831	5.0	2675	1.0413	0.6057

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.0+cu111
• Datasets 1.14.0
• Tokenizers 0.10.3