license: apache-2.0 tags: - generated_from_trainer 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:
- 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