bert-base-uncased-finetuned-rte-run_3
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1377
- Accuracy: 0.7329
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: 4.193e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| No log | 1.0 | 39 | 1.1377 | 0.7329 |
| No log | 2.0 | 78 | 1.2469 | 0.7184 |
| No log | 3.0 | 117 | 1.5512 | 0.6968 |
| No log | 4.0 | 156 | 1.4916 | 0.7004 |
| No log | 5.0 | 195 | 1.6013 | 0.7112 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
