Upload TFSegformerForSemanticSegmentation

README.md

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+---
+license: other
+base_model: nvidia/mit-b1
+tags:
+- generated_from_keras_callback
+model-index:
+- name: slm-segformer-080823-b1
+  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. -->
+
+# slm-segformer-080823-b1
+
+This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0257
+- Validation Loss: 0.0271
+- Validation Mean Iou: 0.8583
+- Validation Mean Accuracy: 0.9196
+- Validation Overall Accuracy: 0.9888
+- Validation Per Category Iou: [0.98849374 0.72800628]
+- Validation Per Category Accuracy: [0.99410982 0.84499592]
+- Epoch: 9
+
+## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 6e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Per Category Iou | Validation Per Category Accuracy | Epoch |
+|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:---------------------------:|:--------------------------------:|:-----:|
+| 0.1099     | 0.0958          | 0.8134              | 0.9461                   | 0.9824                      | [0.98176563 0.64502586]     | [0.98511039 0.90705184]          | 0     |
+| 0.0478     | 0.0523          | 0.8440              | 0.9449                   | 0.9865                      | [0.9860406 0.7019479]       | [0.98964683 0.90022015]          | 1     |
+| 0.0379     | 0.0409          | 0.8476              | 0.9325                   | 0.9873                      | [0.98687303 0.70826431]     | [0.99144882 0.87350047]          | 2     |
+| 0.0336     | 0.0331          | 0.8551              | 0.9394                   | 0.9880                      | [0.98757544 0.72269531]     | [0.99166337 0.88706795]          | 3     |
+| 0.0310     | 0.0329          | 0.8541              | 0.9426                   | 0.9878                      | [0.98735586 0.72081351]     | [0.99118853 0.89409615]          | 4     |
+| 0.0292     | 0.0317          | 0.8516              | 0.9348                   | 0.9877                      | [0.98729336 0.71599644]     | [0.99171219 0.87789181]          | 5     |
+| 0.0282     | 0.0296          | 0.8572              | 0.9336                   | 0.9884                      | [0.98798391 0.72647977]     | [0.99252058 0.87472321]          | 6     |
+| 0.0271     | 0.0319          | 0.8476              | 0.9253                   | 0.9875                      | [0.98709267 0.70802268]     | [0.99221744 0.85835533]          | 7     |
+| 0.0267     | 0.0295          | 0.8549              | 0.9298                   | 0.9882                      | [0.98782022 0.72192985]     | [0.9926388  0.86691624]          | 8     |
+| 0.0257     | 0.0271          | 0.8583              | 0.9196                   | 0.9888                      | [0.98849374 0.72800628]     | [0.99410982 0.84499592]          | 9     |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- TensorFlow 2.12.0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "nvidia/mit-b1",
+  "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": [
+    64,
+    128,
+    320,
+    512
+  ],
+  "id2label": {
+    "0": "background",
+    "1": "boundary"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "background": 0,
+    "boundary": 1
+  },
+  "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": "4.31.0"
+}

tf_model.h5

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+oid sha256:1ce0e04816b693b630c981ba1f0a48ae30d73cabead8776ce45edd42e6f6cb81
+size 54990472