metadata

language:
  - en
license: mit
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
model-index:
  - name: deberta-v3-large-cola
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE COLA
          type: glue
          args: cola
        metrics:
          - name: Matthews Correlation
            type: matthews_correlation
            value: 0.7193201130196331

deberta-v3-large-cola

This model is a fine-tuned version of microsoft/deberta-v3-large on the GLUE COLA dataset. It achieves the following results on the evaluation set:

Loss: 0.5335
Matthews Correlation: 0.7193

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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.1.0
Tokenizers 0.12.1