End of training

README.md

@@ -0,0 +1,81 @@
+---
+license: apache-2.0
+base_model: facebook/deit-base-distilled-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: alzheimer_model_aug_deit5
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9706275033377837
+---
+
+<!-- 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_model_aug_deit5
+
+This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0697
+- Accuracy: 0.9706
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 1234
+- gradient_accumulation_steps: 10
+- total_train_batch_size: 160
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.96  | 18   | 0.3456          | 0.9212   |
+| No log        | 1.97  | 37   | 0.1203          | 0.9666   |
+| No log        | 2.98  | 56   | 0.0897          | 0.9680   |
+| No log        | 3.99  | 75   | 0.0710          | 0.9746   |
+| No log        | 4.79  | 90   | 0.0697          | 0.9706   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cb50a0573f692b292a059640808f94d07540d9a79f94a3f2c6c586eb2af3254e
+oid sha256:1e8ae2da5f73b00ed5d3675a6b986e75a5343cec40369efdc59da1a5117ce716
 size 343255024