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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - matthews_correlation
base_model: bert-base-cased
model-index:
  - name: bert-fine-tuned-cola
    results: []

bert-fine-tuned-cola

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

  • Loss: 0.7606
  • Matthews Correlation: 0.6119

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: 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

Training results

Training Loss Epoch Step Validation Loss Matthews Correlation
0.4626 1.0 1069 0.4405 0.5364
0.3158 2.0 2138 0.5962 0.5803
0.1915 3.0 3207 0.7606 0.6119

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2