End of training

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: Remunata/rupiah_classifier_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. -->
+
+# Remunata/rupiah_classifier_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: 0.1314
+- Train Accuracy: 0.9379
+- Validation Loss: 0.2477
+- Validation Accuracy: 0.9379
+- 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': 66500, '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 | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.9566     | 0.8213         | 0.6179          | 0.8213              | 0     |
+| 0.3346     | 0.8828         | 0.4223          | 0.8828              | 1     |
+| 0.2572     | 0.9048         | 0.3674          | 0.9048              | 2     |
+| 0.2092     | 0.9181         | 0.3146          | 0.9181              | 3     |
+| 0.1856     | 0.9112         | 0.3320          | 0.9112              | 4     |
+| 0.1722     | 0.8999         | 0.4168          | 0.8999              | 5     |
+| 0.1564     | 0.9406         | 0.2184          | 0.9406              | 6     |
+| 0.1402     | 0.8935         | 0.4184          | 0.8935              | 7     |
+| 0.1352     | 0.9230         | 0.2832          | 0.9230              | 8     |
+| 0.1314     | 0.9379         | 0.2477          | 0.9379              | 9     |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- TensorFlow 2.15.0
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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": "100k",
+    "1": "10k",
+    "2": "1k",
+    "3": "20k",
+    "4": "2k",
+    "5": "50k",
+    "6": "5k"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "100k": "0",
+    "10k": "1",
+    "1k": "2",
+    "20k": "3",
+    "2k": "4",
+    "50k": "5",
+    "5k": "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": "4.41.2"
+}

preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d283225773e051e94a321dab1af840014d1f39def1f914f184a0decf0e7e457f
+size 343485112