End of training

README.md

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+---
+license: other
+base_model: nvidia/mit-b1
+tags:
+- generated_from_keras_callback
+model-index:
+- name: ahmed-ai/mit-b1-skin-classifier
+  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. -->
+
+# ahmed-ai/mit-b1-skin-classifier
+
+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: 0.4567
+- Validation Loss: 0.6271
+- Train Accuracy: 0.7610
+- 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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 191770, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 | Train Accuracy | Epoch |
+|:----------:|:---------------:|:--------------:|:-----:|
+| 1.1152     | 0.8715          | 0.6858         | 0     |
+| 0.8784     | 0.7400          | 0.7216         | 1     |
+| 0.7774     | 0.7492          | 0.7273         | 2     |
+| 0.7114     | 0.7229          | 0.7213         | 3     |
+| 0.6492     | 0.6735          | 0.7393         | 4     |
+| 0.6005     | 0.6498          | 0.7507         | 5     |
+| 0.5560     | 0.6181          | 0.7596         | 6     |
+| 0.5179     | 0.6473          | 0.7582         | 7     |
+| 0.4913     | 0.6100          | 0.7711         | 8     |
+| 0.4567     | 0.6271          | 0.7610         | 9     |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- TensorFlow 2.13.0
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "nvidia/mit-b1",
+  "architectures": [
+    "SegformerForImageClassification"
+  ],
+  "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": "Actinic keratoses",
+    "1": "Basal cell carcinoma",
+    "10": "Melanoma",
+    "11": "Monkeypox",
+    "12": "Squamous cell carcinoma",
+    "13": "Vascular lesions",
+    "14": "dermatofibroma",
+    "2": "Benign keratosis-like lesions",
+    "3": "Chickenpox",
+    "4": "Cowpox",
+    "5": "Dermatofibroma",
+    "6": "HFMD",
+    "7": "Healthy",
+    "8": "Measles",
+    "9": "Melanocytic nevi"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Actinic keratoses": "0",
+    "Basal cell carcinoma": "1",
+    "Benign keratosis-like lesions": "2",
+    "Chickenpox": "3",
+    "Cowpox": "4",
+    "Dermatofibroma": "5",
+    "HFMD": "6",
+    "Healthy": "7",
+    "Measles": "8",
+    "Melanocytic nevi": "9",
+    "Melanoma": "10",
+    "Monkeypox": "11",
+    "Squamous cell carcinoma": "12",
+    "Vascular lesions": "13",
+    "dermatofibroma": "14"
+  },
+  "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": "4.36.2"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "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 sha256:37cebfe93296301ff0e8607faf49610a198191637823157bdcfd22e587a37304
+size 52898992