End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: alzheimer_classification
+  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. -->
+
+# alzheimer_classification
+
+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: 0.3183
+- F1: 0.8946
+
+## 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: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 128  | 0.8686          | 0.5548 |
+| No log        | 2.0   | 256  | 0.8457          | 0.6087 |
+| No log        | 3.0   | 384  | 0.7396          | 0.6478 |
+| 0.8172        | 4.0   | 512  | 0.6833          | 0.6826 |
+| 0.8172        | 5.0   | 640  | 0.6280          | 0.7205 |
+| 0.8172        | 6.0   | 768  | 0.5347          | 0.7727 |
+| 0.8172        | 7.0   | 896  | 0.5108          | 0.7909 |
+| 0.5292        | 8.0   | 1024 | 0.4707          | 0.8078 |
+| 0.5292        | 9.0   | 1152 | 0.4477          | 0.8302 |
+| 0.5292        | 10.0  | 1280 | 0.4075          | 0.8511 |
+| 0.5292        | 11.0  | 1408 | 0.4263          | 0.8380 |
+| 0.3498        | 12.0  | 1536 | 0.3558          | 0.8756 |
+| 0.3498        | 13.0  | 1664 | 0.3768          | 0.8558 |
+| 0.3498        | 14.0  | 1792 | 0.3412          | 0.8701 |
+| 0.3498        | 15.0  | 1920 | 0.3028          | 0.8952 |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- 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": "Mild_Demented",
+    "1": "Moderate_Demented",
+    "2": "Non_Demented",
+    "3": "Very_Mild_Demented"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Mild_Demented": "0",
+    "Moderate_Demented": "1",
+    "Non_Demented": "2",
+    "Very_Mild_Demented": "3"
+  },
+  "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": "4.41.0"
+}

model.safetensors

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+size 343230128

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
+  }
+}

runs/May23_03-10-17_ef0de3e3286a/events.out.tfevents.1716433819.ef0de3e3286a.1223.0

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runs/May23_03-10-17_ef0de3e3286a/events.out.tfevents.1716436359.ef0de3e3286a.1223.1

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training_args.bin

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