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Librarian Bot: Add base_model information to model (#1)
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
base_model: distilroberta-base
model-index:
  - name: distilroberta-base-finetuned-cola
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: glue
          type: glue
          config: cola
          split: train
          args: cola
        metrics:
          - type: matthews_correlation
            value: 0.5788207437251082
            name: Matthews Correlation

distilroberta-base-finetuned-cola

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

  • Loss: 0.7665
  • Matthews Correlation: 0.5788

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
0.5226 1.0 535 0.5360 0.4620
0.3597 2.0 1070 0.4694 0.5261
0.2602 3.0 1605 0.5318 0.5496
0.2063 4.0 2140 0.7052 0.5701
0.1659 5.0 2675 0.7665 0.5788

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.1
  • Tokenizers 0.13.2