test
This model is a fine-tuned version of prajjwal1/bert-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6897
- F1: 0.0
- Roc Auc: 0.5
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc |
|---|---|---|---|---|---|
| No log | 1.0 | 1 | 0.6870 | 0.0 | 0.5 |
| No log | 2.0 | 2 | 0.6871 | 0.0 | 0.5 |
| No log | 3.0 | 3 | 0.6873 | 0.0 | 0.5 |
| No log | 4.0 | 4 | 0.6876 | 0.0 | 0.5 |
| No log | 5.0 | 5 | 0.6879 | 0.0 | 0.5 |
| No log | 6.0 | 6 | 0.6887 | 0.0 | 0.5 |
| No log | 7.0 | 7 | 0.6893 | 0.0 | 0.5 |
| No log | 8.0 | 8 | 0.6891 | 0.0 | 0.5 |
| No log | 9.0 | 9 | 0.6893 | 0.0 | 0.5 |
| No log | 10.0 | 10 | 0.6889 | 0.0 | 0.5 |
| No log | 11.0 | 11 | 0.6889 | 0.0 | 0.5 |
| No log | 12.0 | 12 | 0.6885 | 0.0 | 0.5 |
| No log | 13.0 | 13 | 0.6881 | 0.0 | 0.5 |
| No log | 14.0 | 14 | 0.6879 | 0.0 | 0.5 |
| No log | 15.0 | 15 | 0.6876 | 0.0 | 0.5 |
| No log | 16.0 | 16 | 0.6874 | 0.0 | 0.5 |
| No log | 17.0 | 17 | 0.6871 | 0.0 | 0.5 |
| No log | 18.0 | 18 | 0.6869 | 0.0 | 0.5 |
| No log | 19.0 | 19 | 0.6868 | 0.0 | 0.5 |
| No log | 20.0 | 20 | 0.6867 | 0.0 | 0.5 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cpu
- Datasets 4.1.0
- Tokenizers 0.22.0