End of training

README.md

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+---
+license: other
+base_model: nvidia/segformer-b0-finetuned-ade-512-512
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Omar280X/printed_ID_Segmentation_1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# Omar280X/printed_ID_Segmentation_1
+
+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.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.5448
+- Validation Loss: 1.0024
+- Epoch: 2
+
+## 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': 6e-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 |
+|:----------:|:---------------:|:-----:|
+| 0.4843     | 0.9437          | 0     |
+| 0.5116     | 0.8503          | 1     |
+| 0.5448     | 1.0024          | 2     |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- TensorFlow 2.10.0
+- Datasets 3.6.0
+- Tokenizers 0.15.2

tf_model.h5

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