Training in progress epoch 0

README.md

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+---
+license: other
+tags:
+- generated_from_keras_callback
+model-index:
+- name: dousey/scene_segmentation
+  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. -->
+
+# dousey/scene_segmentation
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: nan
+- Validation Loss: nan
+- Validation Mean Iou: 0.0217
+- Validation Mean Accuracy: 0.5
+- Validation Overall Accuracy: 0.2545
+- Validation Accuracy Background: 1.0
+- Validation Accuracy Bleuet: 0.0
+- Validation Accuracy Comptonie: nan
+- Validation Accuracy Kalmia: nan
+- Validation Iou Background: 0.0433
+- Validation Iou Bleuet: 0.0
+- Validation Iou Comptonie: nan
+- Validation Iou Kalmia: nan
+- Epoch: 0
+
+## 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 6e-05, 'decay_steps': 76500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Background | Validation Accuracy Bleuet | Validation Accuracy Comptonie | Validation Accuracy Kalmia | Validation Iou Background | Validation Iou Bleuet | Validation Iou Comptonie | Validation Iou Kalmia | Epoch |
+|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:------------------------------:|:--------------------------:|:-----------------------------:|:--------------------------:|:-------------------------:|:---------------------:|:------------------------:|:---------------------:|:-----:|
+| nan        | nan             | 0.0217              | 0.5                      | 0.2545                      | 1.0                            | 0.0                        | nan                           | nan                        | 0.0433                    | 0.0                   | nan                      | nan                   | 0     |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- TensorFlow 2.9.2
+- Datasets 2.9.0
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "nvidia/mit-b0",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 256,
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsampling_rates": [
+    1,
+    4,
+    8,
+    16
+  ],
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    32,
+    64,
+    160,
+    256
+  ],
+  "id2label": {
+    "0": "Background",
+    "1": "Bleuet",
+    "2": "Comptonie",
+    "3": "Kalmia"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Background": 0,
+    "Bleuet": 1,
+    "Comptonie": 2,
+    "Kalmia": 3
+  },
+  "layer_norm_eps": 1e-06,
+  "mlp_ratios": [
+    4,
+    4,
+    4,
+    4
+  ],
+  "model_type": "segformer",
+  "num_attention_heads": [
+    1,
+    2,
+    5,
+    8
+  ],
+  "num_channels": 3,
+  "num_encoder_blocks": 4,
+  "patch_sizes": [
+    7,
+    3,
+    3,
+    3
+  ],
+  "reshape_last_stage": true,
+  "semantic_loss_ignore_index": 255,
+  "sr_ratios": [
+    8,
+    4,
+    2,
+    1
+  ],
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_reduce_labels": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "SegformerImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 512,
+    "width": 512
+  }
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4c37ed986c4aaf79a92cb007f975ef3cc4ed04385465d851e846488aa68980ce
+size 15135720