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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Guldeniz/vit-base-patch16-224-in21k-lung_and_colon
+  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. -->
+
+# Guldeniz/vit-base-patch16-224-in21k-lung_and_colon
+
+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: 0.0088
+- Train Accuracy: 1.0
+- Train Top-3-accuracy: 1.0
+- Validation Loss: 0.0084
+- Validation Accuracy: 0.9997
+- Validation Top-3-accuracy: 1.0
+- Epoch: 3
+
+## 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': 3e-05, 'decay_steps': 3325, '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 | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
+|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
+| 0.1870     | 0.9784         | 0.9985               | 0.0455          | 0.9987              | 1.0                       | 0     |
+| 0.0345     | 0.9972         | 1.0                  | 0.0189          | 0.9995              | 1.0                       | 1     |
+| 0.0134     | 1.0            | 1.0                  | 0.0110          | 0.9997              | 1.0                       | 2     |
+| 0.0088     | 1.0            | 1.0                  | 0.0084          | 0.9997              | 1.0                       | 3     |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- TensorFlow 2.12.0
+- Datasets 2.10.1
+- Tokenizers 0.13.3

config.json

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+{
+  "_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": "lung_aca",
+    "1": "colon_n",
+    "2": "colon_aca",
+    "3": "lung_n",
+    "4": "lung_scc"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "colon_aca": "2",
+    "colon_n": "1",
+    "lung_aca": "0",
+    "lung_n": "3",
+    "lung_scc": "4"
+  },
+  "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": "4.26.1"
+}

logs/train/events.out.tfevents.1684959325.Guldenizs-MacBook-Pro.local.31812.0.v2

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tf_model.h5

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