Upload TFViTForImageClassification

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Entrnal_eyes_data_7class_allNew_withother_resize_224_model
+  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. -->
+
+# Entrnal_eyes_data_7class_allNew_withother_resize_224_model
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0693
+- Train Accuracy: 0.9107
+- Train Top-3-accuracy: 0.9914
+- Validation Loss: 0.4731
+- Validation Accuracy: 0.9137
+- Validation Top-3-accuracy: 0.9918
+- 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': 1580, '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 | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
+|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
+| 1.1195     | 0.5630         | 0.8481               | 0.7181          | 0.7020              | 0.9377                    | 0     |
+| 0.5314     | 0.7457         | 0.9559               | 0.5566          | 0.7758              | 0.9668                    | 1     |
+| 0.3817     | 0.7982         | 0.9725               | 0.4695          | 0.8146              | 0.9767                    | 2     |
+| 0.2853     | 0.8284         | 0.9795               | 0.4379          | 0.8405              | 0.9819                    | 3     |
+| 0.2111     | 0.8515         | 0.9837               | 0.4234          | 0.8605              | 0.9852                    | 4     |
+| 0.1475     | 0.8695         | 0.9864               | 0.4329          | 0.8767              | 0.9874                    | 5     |
+| 0.1070     | 0.8835         | 0.9882               | 0.4625          | 0.8896              | 0.9890                    | 6     |
+| 0.0847     | 0.8948         | 0.9896               | 0.4766          | 0.8993              | 0.9901                    | 7     |
+| 0.0745     | 0.9035         | 0.9906               | 0.4688          | 0.9073              | 0.9910                    | 8     |
+| 0.0693     | 0.9107         | 0.9914               | 0.4731          | 0.9137              | 0.9918                    | 9     |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- TensorFlow 2.15.1
+- Datasets 3.0.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,40 @@
+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "DP",
+    "1": "Other",
+    "2": "ROP",
+    "3": "RVO",
+    "4": "cataract",
+    "5": "glaucoma",
+    "6": "normal"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "DP": "0",
+    "Other": "1",
+    "ROP": "2",
+    "RVO": "3",
+    "cataract": "4",
+    "glaucoma": "5",
+    "normal": "6"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "transformers_version": "4.44.2"
+}

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53355b26e2477ce03b861e70ac20fbe5bb25996a14a4a06b0865f90878ba41a7
+size 343485112