Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: banknote18k
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# banknote18k
+
+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:
+- Loss: 0.0096
+- Accuracy: 0.9987
+
+## 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:
+- learning_rate: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4947        | 0.12  | 100  | 0.3407          | 0.9451   |
+| 0.423         | 0.23  | 200  | 0.2200          | 0.9451   |
+| 0.2237        | 0.35  | 300  | 0.1613          | 0.9536   |
+| 0.2806        | 0.46  | 400  | 0.0884          | 0.9810   |
+| 0.1188        | 0.58  | 500  | 0.0512          | 0.9895   |
+| 0.3279        | 0.7   | 600  | 0.0568          | 0.9876   |
+| 0.1054        | 0.81  | 700  | 0.0342          | 0.9928   |
+| 0.0924        | 0.93  | 800  | 0.0536          | 0.9863   |
+| 0.1068        | 1.05  | 900  | 0.0746          | 0.9804   |
+| 0.213         | 1.16  | 1000 | 0.0340          | 0.9948   |
+| 0.159         | 1.28  | 1100 | 0.0426          | 0.9882   |
+| 0.1048        | 1.39  | 1200 | 0.0248          | 0.9948   |
+| 0.1493        | 1.51  | 1300 | 0.0154          | 0.9974   |
+| 0.1274        | 1.63  | 1400 | 0.0394          | 0.9922   |
+| 0.0915        | 1.74  | 1500 | 0.0422          | 0.9882   |
+| 0.0598        | 1.86  | 1600 | 0.0219          | 0.9948   |
+| 0.1241        | 1.97  | 1700 | 0.0173          | 0.9948   |
+| 0.1249        | 2.09  | 1800 | 0.0179          | 0.9954   |
+| 0.0131        | 2.21  | 1900 | 0.0124          | 0.9961   |
+| 0.0392        | 2.32  | 2000 | 0.0123          | 0.9967   |
+| 0.0655        | 2.44  | 2100 | 0.0223          | 0.9948   |
+| 0.0355        | 2.56  | 2200 | 0.0256          | 0.9941   |
+| 0.0335        | 2.67  | 2300 | 0.0147          | 0.9967   |
+| 0.0618        | 2.79  | 2400 | 0.0123          | 0.9974   |
+| 0.0476        | 2.9   | 2500 | 0.0110          | 0.9980   |
+| 0.0452        | 3.02  | 2600 | 0.0192          | 0.9967   |
+| 0.0104        | 3.14  | 2700 | 0.0184          | 0.9967   |
+| 0.036         | 3.25  | 2800 | 0.0122          | 0.9974   |
+| 0.0358        | 3.37  | 2900 | 0.0104          | 0.9987   |
+| 0.054         | 3.48  | 3000 | 0.0101          | 0.9987   |
+| 0.0395        | 3.6   | 3100 | 0.0132          | 0.9967   |
+| 0.0367        | 3.72  | 3200 | 0.0096          | 0.9987   |
+| 0.0261        | 3.83  | 3300 | 0.0101          | 0.9980   |
+| 0.0017        | 3.95  | 3400 | 0.0096          | 0.9987   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- 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": "10",
+    "1": "100",
+    "2": "1000",
+    "3": "2",
+    "4": "20",
+    "5": "200",
+    "6": "5",
+    "7": "50",
+    "8": "500"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "10": "0",
+    "100": "1",
+    "1000": "2",
+    "2": "3",
+    "20": "4",
+    "200": "5",
+    "5": "6",
+    "50": "7",
+    "500": "8"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.1"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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+size 343290221

training_args.bin

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