coca-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: 1.2414
- Matthews Correlation: 0.5428
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.1477 | 1.0 | 1069 | 0.9112 | 0.5214 |
| 0.1043 | 2.0 | 2138 | 0.9685 | 0.5576 |
| 0.0617 | 3.0 | 3207 | 1.2414 | 0.5428 |
Framework versions
- Transformers 4.54.1
- Pytorch 2.6.0+cu118
- Datasets 3.6.0
- Tokenizers 0.21.1
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Model tree for rmlaylo/coca-cola
Base model
google-bert/bert-base-cased