End of training

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: brain-tumor-vgg19
+  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. -->
+
+# brain-tumor-vgg19
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7640
+- Accuracy: 0.9771
+
+## 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: 0.0001
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 179  | 0.9034          | 0.8360   |
+| No log        | 2.0   | 358  | 0.8890          | 0.8558   |
+| 0.869         | 3.0   | 537  | 0.8462          | 0.8940   |
+| 0.869         | 4.0   | 716  | 0.8387          | 0.9047   |
+| 0.869         | 5.0   | 895  | 0.7820          | 0.9580   |
+| 0.7826        | 6.0   | 1074 | 0.8096          | 0.9306   |
+| 0.7826        | 7.0   | 1253 | 0.7943          | 0.9474   |
+| 0.7826        | 8.0   | 1432 | 0.7721          | 0.9695   |
+| 0.7617        | 9.0   | 1611 | 0.7674          | 0.9756   |
+| 0.7617        | 10.0  | 1790 | 0.7640          | 0.9771   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "architectures": [
+    "CustomModelForImageClassification"
+  ],
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
+  },
+  "image_size": 224,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
+  },
+  "model_type": "custom_model",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2"
+}

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training_args.bin

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