0707_2_finetuned-finetuned-localization
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1445
- Accuracy: 0.4167
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: 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 | Accuracy |
|---|
| 0.9296 | 1.0 | 2500 | 1.2921 | 0.4267 |
| 0.6704 | 2.0 | 5000 | 1.6807 | 0.432 |
| 0.3695 | 3.0 | 7500 | 2.3376 | 0.4187 |
| 0.1416 | 4.0 | 10000 | 3.6342 | 0.424 |
| 0.031 | 5.0 | 12500 | 4.1445 | 0.4167 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3
