metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
base_model: bert-base-cased
model-index:
  - name: bert-fine-tuned-cola
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: glue
          type: glue
          config: cola
          split: validation
          args: cola
        metrics:
          - type: matthews_correlation
            value: 0.5804132033917235
            name: Matthews Correlation

bert-fine-tuned-cola

This model is a fine-tuned version of bert-base-cased on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.6993
Matthews Correlation: 0.5804

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.4983	1.0	535	0.4890	0.5078
0.2856	2.0	1070	0.5001	0.5678
0.1774	3.0	1605	0.6993	0.5804

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3