Omar280X/printed_ID_Segmentation_1
This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.5221
- Validation Loss: 0.7828
- Epoch: 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:
- optimizer: {'name': 'Adam', 'learning_rate': 3.639184e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
0.3885 | 1.1158 | 0 |
0.4938 | 0.6734 | 1 |
0.4921 | 0.6814 | 2 |
0.5149 | 0.7493 | 3 |
0.4889 | 0.7936 | 4 |
0.5221 | 0.7828 | 5 |
Framework versions
- Transformers 4.37.2
- TensorFlow 2.10.0
- Datasets 3.6.0
- Tokenizers 0.15.2
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nvidia/mit-b0