metadata
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: BERT1bert-large-uncased-finetuned-cola
results: []
BERT1bert-large-uncased-finetuned-cola
This model is a fine-tuned version of bert-large-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9476
- Matthews Correlation: 0.6185
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 |
|---|---|---|---|---|
| 0.4566 | 1.0 | 535 | 0.4120 | 0.5206 |
| 0.2681 | 2.0 | 1070 | 0.4370 | 0.6001 |
| 0.1804 | 3.0 | 1605 | 0.6445 | 0.6108 |
| 0.1059 | 4.0 | 2140 | 0.8336 | 0.6183 |
| 0.0624 | 5.0 | 2675 | 0.9476 | 0.6185 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1