my_awesome_model
This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6437
- Accuracy: 1.0
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 1.1738 | 0.0 |
| No log | 2.0 | 2 | 1.0929 | 0.0 |
| No log | 3.0 | 3 | 0.9705 | 0.5 |
| No log | 4.0 | 4 | 0.8380 | 1.0 |
| No log | 5.0 | 5 | 0.7512 | 1.0 |
| No log | 6.0 | 6 | 0.6991 | 1.0 |
| No log | 7.0 | 7 | 0.6719 | 1.0 |
| No log | 8.0 | 8 | 0.6558 | 1.0 |
| No log | 9.0 | 9 | 0.6474 | 1.0 |
| No log | 10.0 | 10 | 0.6437 | 1.0 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Base model
google-bert/bert-base-cased