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--- |
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license: other |
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base_model: nvidia/mit-b0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Omar280X/printed_ID_Segmentation_1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# Omar280X/printed_ID_Segmentation_1 |
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.5221 |
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- Validation Loss: 0.7828 |
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- Epoch: 5 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'learning_rate': 3.639184e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.3885 | 1.1158 | 0 | |
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| 0.4938 | 0.6734 | 1 | |
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| 0.4921 | 0.6814 | 2 | |
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| 0.5149 | 0.7493 | 3 | |
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| 0.4889 | 0.7936 | 4 | |
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| 0.5221 | 0.7828 | 5 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- TensorFlow 2.10.0 |
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- Datasets 3.6.0 |
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- Tokenizers 0.15.2 |
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