Training in progress epoch 0

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Alph0nse/vit-base-patch16-224-in21k_v2_breed_cls_v2
+  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. -->
+
+# Alph0nse/vit-base-patch16-224-in21k_v2_breed_cls_v2
+
+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: 2.4175
+- Train Accuracy: 0.5263
+- Train Top-3-accuracy: 0.7190
+- Validation Loss: 1.9955
+- Validation Accuracy: 0.7702
+- Validation Top-3-accuracy: 0.9039
+- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 560, '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 |
+|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
+| 2.4175     | 0.5263         | 0.7190               | 1.9955          | 0.7702              | 0.9039                    | 0     |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- TensorFlow 2.15.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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": "Bernese_mountain_dog",
+    "1": "Afghan_hound",
+    "10": "Sealyham_terrier",
+    "11": "basenji",
+    "12": "Great_Pyrenees",
+    "13": "Leonberg",
+    "14": "pug",
+    "15": "Tibetan_terrier",
+    "16": "EntleBucher",
+    "17": "Australian_terrier",
+    "18": "Samoyed",
+    "19": "Lakeland_terrier",
+    "2": "Maltese_dog",
+    "3": "Pomeranian",
+    "4": "Scottish_deerhound",
+    "5": "cairn",
+    "6": "Shih",
+    "7": "Airedale",
+    "8": "Saluki",
+    "9": "Irish_wolfhound"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Afghan_hound": 1,
+    "Airedale": 7,
+    "Australian_terrier": 17,
+    "Bernese_mountain_dog": 0,
+    "EntleBucher": 16,
+    "Great_Pyrenees": 12,
+    "Irish_wolfhound": 9,
+    "Lakeland_terrier": 19,
+    "Leonberg": 13,
+    "Maltese_dog": 2,
+    "Pomeranian": 3,
+    "Saluki": 8,
+    "Samoyed": 18,
+    "Scottish_deerhound": 4,
+    "Sealyham_terrier": 10,
+    "Shih": 6,
+    "Tibetan_terrier": 15,
+    "basenji": 11,
+    "cairn": 5,
+    "pug": 14
+  },
+  "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": "4.38.2"
+}

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tf_model.h5

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