End of training
Browse files- README.md +73 -0
- tf_model.h5 +1 -1
README.md
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---
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license: other
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base_model: nvidia/segformer-b0-finetuned-ade-512-512
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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/passport_segmentation_v9
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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/passport_segmentation_v9
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This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0239
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- Validation Loss: 0.0941
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- Epoch: 19
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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': 6e-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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| 0.1594 | 0.1322 | 0 |
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| 0.0783 | 0.1326 | 1 |
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| 0.0620 | 0.1099 | 2 |
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| 0.0531 | 0.1093 | 3 |
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| 0.0484 | 0.0908 | 4 |
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| 0.0440 | 0.1785 | 5 |
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| 0.0403 | 0.1345 | 6 |
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| 0.0379 | 0.0885 | 7 |
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| 0.0357 | 0.1485 | 8 |
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| 0.0334 | 0.1024 | 9 |
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| 0.0308 | 0.1009 | 10 |
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| 0.0311 | 0.1368 | 11 |
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| 0.0321 | 0.1223 | 12 |
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| 0.0290 | 0.0974 | 13 |
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| 0.0272 | 0.1802 | 14 |
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| 0.0276 | 0.1109 | 15 |
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| 0.0260 | 0.1074 | 16 |
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| 0.0279 | 0.1092 | 17 |
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| 0.0252 | 0.0994 | 18 |
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| 0.0239 | 0.0941 | 19 |
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### Framework versions
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- Transformers 4.37.0
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- TensorFlow 2.10.0
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- Datasets 3.2.0
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- Tokenizers 0.15.2
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tf_model.h5
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 15133552
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version https://git-lfs.github.com/spec/v1
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oid sha256:52b4af0e97eec252826c8590e6b6cc57ff0a846a727615b74ab6a79f6d44be80
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size 15133552
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