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

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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:

• eval_loss: 0.4231
• eval_matthews_correlation: 0.5246
• eval_runtime: 58.4363
• eval_samples_per_second: 17.849
• eval_steps_per_second: 2.242
• epoch: 1.0
• step: 1069

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

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2