Model save

README.md

@@ -3,9 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
-- image-classification
-- brain-tumor
-- medical-imaging
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -18,7 +15,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: your-username/brain-tumor
+      name: imagefolder
       type: imagefolder
       config: default
       split: train
@@ -26,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.862453531598513
+      value: 0.8698884758364313
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-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 your-username/brain-tumor 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: 0.3625
-- Accuracy: 0.8625
+- Loss: 0.3678
+- Accuracy: 0.8699
 
 ## Model description
 
@@ -68,21 +65,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6486        | 1.0   | 135  | 0.6040          | 0.7127   |
-| 0.5363        | 2.0   | 270  | 0.5300          | 0.8060   |
-| 0.4727        | 3.0   | 405  | 0.4835          | 0.8209   |
-| 0.4318        | 4.0   | 540  | 0.4525          | 0.8358   |
-| 0.4027        | 5.0   | 675  | 0.4298          | 0.8358   |
-| 0.3791        | 6.0   | 810  | 0.4145          | 0.8358   |
-| 0.3764        | 7.0   | 945  | 0.4017          | 0.8433   |
-| 0.3575        | 8.0   | 1080 | 0.3913          | 0.8433   |
-| 0.352         | 9.0   | 1215 | 0.3840          | 0.8470   |
-| 0.3466        | 10.0  | 1350 | 0.3775          | 0.8433   |
-| 0.3447        | 11.0  | 1485 | 0.3733          | 0.8433   |
-| 0.3361        | 12.0  | 1620 | 0.3697          | 0.8470   |
-| 0.3352        | 13.0  | 1755 | 0.3672          | 0.8470   |
-| 0.3347        | 14.0  | 1890 | 0.3657          | 0.8470   |
-| 0.3365        | 15.0  | 2025 | 0.3653          | 0.8470   |
+| 0.8264        | 1.0   | 135  | 0.6904          | 0.5709   |
+| 0.6692        | 2.0   | 270  | 0.5918          | 0.7313   |
+| 0.5584        | 3.0   | 405  | 0.5281          | 0.7836   |
+| 0.4993        | 4.0   | 540  | 0.4851          | 0.8321   |
+| 0.4554        | 5.0   | 675  | 0.4554          | 0.8321   |
+| 0.4237        | 6.0   | 810  | 0.4345          | 0.8246   |
+| 0.4035        | 7.0   | 945  | 0.4183          | 0.8246   |
+| 0.3861        | 8.0   | 1080 | 0.4066          | 0.8321   |
+| 0.3793        | 9.0   | 1215 | 0.3976          | 0.8433   |
+| 0.3678        | 10.0  | 1350 | 0.3898          | 0.8433   |
+| 0.3665        | 11.0  | 1485 | 0.3843          | 0.8433   |
+| 0.3564        | 12.0  | 1620 | 0.3802          | 0.8433   |
+| 0.3518        | 13.0  | 1755 | 0.3772          | 0.8470   |
+| 0.3508        | 14.0  | 1890 | 0.3755          | 0.8470   |
+| 0.3518        | 15.0  | 2025 | 0.3750          | 0.8470   |
 
 
 ### Framework versions

runs/May24_14-13-43_ip-10-192-11-175/events.out.tfevents.1748096419.ip-10-192-11-175.1808.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2dd8dab5fabdc6fcc5427239bc935ba5b3a8caa292cf7baee1d90a94e7dd850b
+size 734