Training in progress epoch 0

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: aalonso-developer/vit-base-patch16-224-in21k-clothing-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. -->
+
+# aalonso-developer/vit-base-patch16-224-in21k-clothing-classifier
+
+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: 1.3672
+- Train Accuracy: 0.6720
+- Train Top-3-accuracy: 0.8895
+- Validation Loss: 0.8886
+- Validation Accuracy: 0.7613
+- Validation Top-3-accuracy: 0.9415
+- 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 3665, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
+- training_precision: mixed_float16
+
+### Training results
+
+| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
+|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
+| 1.3672     | 0.6720         | 0.8895               | 0.8886          | 0.7613              | 0.9415                    | 0     |
+
+
+### Framework versions
+
+- Transformers 4.29.1
+- TensorFlow 2.11.0
+- Datasets 2.12.0
+- 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": "Skirt",
+    "1": "Jacket",
+    "10": "Cardigan",
+    "11": "Jumpsuit",
+    "12": "Sweater",
+    "13": "Blazer",
+    "2": "Dress",
+    "3": "Tee",
+    "4": "Sweatpants",
+    "5": "Tank",
+    "6": "Romper",
+    "7": "Top",
+    "8": "Shorts",
+    "9": "Jeans"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Blazer": "13",
+    "Cardigan": "10",
+    "Dress": "2",
+    "Jacket": "1",
+    "Jeans": "9",
+    "Jumpsuit": "11",
+    "Romper": "6",
+    "Shorts": "8",
+    "Skirt": "0",
+    "Sweater": "12",
+    "Sweatpants": "4",
+    "Tank": "5",
+    "Tee": "3",
+    "Top": "7"
+  },
+  "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": "4.29.1"
+}

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