Model save

README.md

@@ -1,27 +1,52 @@
 ---
+library_name: transformers
 license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
 metrics:
 - accuracy
-base_model:
-- google/vit-base-patch16-224
-library_name: transformers
-tags:
-- image-classification
+model-index:
+- name: fruits-classification
+  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: 1.0
 ---
 
-# oxford-pets-zero-shot
+<!-- 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. -->
 
-This model achieves the following results:
-- Accuracy: 0.8800
-- Precision: 0.8768
-- Recall: 0.8800
+# fruits-classification
 
-# vit-base-oxford-iiit-pets (Transfer learning)
-
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pcuenq/oxford-pets 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: 0.1814
-- Accuracy: 0.9499
+- Loss: 0.0007
+- Accuracy: 1.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
 
 ## Training procedure
 
@@ -40,8 +65,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3645        | 1.0   | 370  | 0.3259          | 0.9296   |
-| 0.2118        | 2.0   | 740  | 0.2660          | 0.9350   |
-| 0.1643        | 3.0   | 1110 | 0.2436          | 0.9323   |
-| 0.1482        | 4.0   | 1480 | 0.2364          | 0.9364   |
-| 0.1412        | 5.0   | 1850 | 0.2357          | 0.9350   |
+| 0.0063        | 1.0   | 1070 | 0.0053          | 1.0      |
+| 0.0023        | 2.0   | 2140 | 0.0020          | 1.0      |
+| 0.0012        | 3.0   | 3210 | 0.0011          | 1.0      |
+| 0.001         | 4.0   | 4280 | 0.0008          | 1.0      |
+| 0.0007        | 5.0   | 5350 | 0.0007          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.52.3
+- Pytorch 2.7.0+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.1

runs/May30_09-34-57_ip-10-192-12-141/events.out.tfevents.1748598852.ip-10-192-12-141.92810.1

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