metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
model-index:
  - name: nli-distilroberta-base-finetuned-cola
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: glue
          type: glue
          config: cola
          split: train
          args: cola
        metrics:
          - name: Matthews Correlation
            type: matthews_correlation
            value: 0.49571112155193453

nli-distilroberta-base-finetuned-cola

This model is a fine-tuned version of cross-encoder/nli-distilroberta-base on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.8280
Matthews Correlation: 0.4957

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
0.5646	1.0	535	0.6462	0.3422
0.4267	2.0	1070	0.5672	0.4422
0.3354	3.0	1605	0.6441	0.4698
0.2723	4.0	2140	0.7464	0.4670
0.2204	5.0	2675	0.8280	0.4957

Framework versions

Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2