Model save

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
-- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -15,7 +14,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: Mahadih534/brain-tumor-dataset
+      name: imagefolder
       type: imagefolder
       config: default
       split: train
@@ -23,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6153846153846154
+      value: 0.6923076923076923
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-oxford-brain-tumor
 
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the Mahadih534/brain-tumor-dataset dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6187
-- Accuracy: 0.6154
+- Loss: 0.5719
+- Accuracy: 0.6923
 
 ## Model description
 
@@ -53,23 +52,25 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 16
+- learning_rate: 0.0003
+- train_batch_size: 20
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 7
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 13   | 0.5587          | 0.68     |
-| No log        | 2.0   | 26   | 0.5209          | 0.8      |
-| No log        | 3.0   | 39   | 0.4983          | 0.84     |
-| No log        | 4.0   | 52   | 0.4822          | 0.8      |
-| No log        | 5.0   | 65   | 0.4770          | 0.8      |
+| No log        | 1.0   | 11   | 0.5904          | 0.64     |
+| No log        | 2.0   | 22   | 0.5276          | 0.68     |
+| No log        | 3.0   | 33   | 0.4864          | 0.8      |
+| No log        | 4.0   | 44   | 0.4566          | 0.8      |
+| No log        | 5.0   | 55   | 0.4390          | 0.88     |
+| No log        | 6.0   | 66   | 0.4294          | 0.96     |
+| No log        | 7.0   | 77   | 0.4259          | 0.96     |
 
 
 ### Framework versions

runs/Jun09_18-37-06_3461f2516c4a/events.out.tfevents.1717959484.3461f2516c4a.3087.13

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