Training in progress epoch 0

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_keras_callback
+model-index:
+- name: sghirardelli/vit-base-patch16-224-rgbd1k2
+  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. -->
+
+# sghirardelli/vit-base-patch16-224-rgbd1k2
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.3650
+- Train Accuracy: 0.9401
+- Train Top-3-accuracy: 0.9676
+- Validation Loss: 0.0202
+- Validation Accuracy: 1.0
+- Validation Top-3-accuracy: 1.0
+- 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': 645, '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 |
+|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
+| 0.3650     | 0.9401         | 0.9676               | 0.0202          | 1.0                 | 1.0                       | 0     |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- TensorFlow 2.12.0
+- Datasets 2.13.1
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "banana",
+    "1": "bell_pepper",
+    "10": "cereal_box",
+    "11": "comb",
+    "12": "dry_battery",
+    "2": "ball",
+    "3": "binder",
+    "4": "bowl",
+    "5": "cell_phone",
+    "6": "calculator",
+    "7": "cap",
+    "8": "camera",
+    "9": "coffee_mug"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ball": "2",
+    "banana": "0",
+    "bell_pepper": "1",
+    "binder": "3",
+    "bowl": "4",
+    "calculator": "6",
+    "camera": "8",
+    "cap": "7",
+    "cell_phone": "5",
+    "cereal_box": "10",
+    "coffee_mug": "9",
+    "comb": "11",
+    "dry_battery": "12"
+  },
+  "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": "4.31.0"
+}

logs/train/events.out.tfevents.1689988912.d0c7df717205.391.0.v2

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logs/validation/events.out.tfevents.1689990795.d0c7df717205.391.1.v2

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tf_model.h5

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