Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/convnext-tiny-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: convnext-tiny-224-finetuned-alzheimer-MRI
+  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. -->
+
+# convnext-tiny-224-finetuned-alzheimer-MRI
+
+This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8437
+- Accuracy: 0.5488
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0151        | 1.0   | 36   | 0.9395          | 0.5391   |
+| 0.9132        | 2.0   | 72   | 0.8595          | 0.5508   |
+| 0.876         | 3.0   | 108  | 0.8437          | 0.5488   |
+
+
+### Framework versions
+
+- Transformers 4.52.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

model.safetensors

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