End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- medmnist-v2
+metrics:
+- accuracy
+- f1
+model-index:
+- name: ViT_bloodmnist
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: medmnist-v2
+      type: medmnist-v2
+      config: bloodmnist
+      split: validation
+      args: bloodmnist
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9701841566793336
+    - name: F1
+      type: f1
+      value: 0.9693863873037792
+---
+
+<!-- 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. -->
+
+# ViT_bloodmnist
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the medmnist-v2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0876
+- Accuracy: 0.9702
+- F1: 0.9694
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.2696        | 1.0   | 374  | 0.1176          | 0.9609   | 0.9573 |
+| 0.0905        | 2.0   | 748  | 0.0769          | 0.9743   | 0.9718 |
+| 0.043         | 3.0   | 1122 | 0.1077          | 0.9667   | 0.9680 |
+| 0.0247        | 4.0   | 1496 | 0.0915          | 0.9737   | 0.9728 |
+| 0.0069        | 5.0   | 1870 | 0.1082          | 0.9749   | 0.9748 |
+| 0.0023        | 6.0   | 2244 | 0.1226          | 0.9749   | 0.9747 |
+| 0.0004        | 7.0   | 2618 | 0.1067          | 0.9796   | 0.9786 |
+| 0.0001        | 8.0   | 2992 | 0.1107          | 0.9772   | 0.9765 |
+| 0.0001        | 9.0   | 3366 | 0.1105          | 0.9772   | 0.9765 |
+| 0.0001        | 10.0  | 3740 | 0.1104          | 0.9772   | 0.9765 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

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": "basophil",
+    "1": "eosinophil",
+    "2": "erythroblast",
+    "3": "immature granulocytes(myelocytes, metamyelocytes and promyelocytes)",
+    "4": "lymphocyte",
+    "5": "monocyte",
+    "6": "neutrophil",
+    "7": "platelet"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "basophil": "0",
+    "eosinophil": "1",
+    "erythroblast": "2",
+    "immature granulocytes(myelocytes, metamyelocytes and promyelocytes)": "3",
+    "lymphocyte": "4",
+    "monocyte": "5",
+    "neutrophil": "6",
+    "platelet": "7"
+  },
+  "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": "4.45.1"
+}

model.safetensors

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+size 343242432

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": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Oct19_09-15-08_4c9d9e813c2f/events.out.tfevents.1729329311.4c9d9e813c2f.23.0

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training_args.bin

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