End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.55
+      value: 0.5125
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2790
-- Accuracy: 0.55
+- Loss: 1.5074
+- Accuracy: 0.5125
 
 ## Model description
 
@@ -52,23 +52,33 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 40   | 1.2735          | 0.5312   |
-| No log        | 2.0   | 80   | 1.4222          | 0.45     |
-| No log        | 3.0   | 120  | 1.2731          | 0.5437   |
-| No log        | 4.0   | 160  | 1.2899          | 0.5687   |
-| No log        | 5.0   | 200  | 1.3055          | 0.525    |
+| No log        | 1.0   | 40   | 1.3274          | 0.5687   |
+| No log        | 2.0   | 80   | 1.4828          | 0.5188   |
+| No log        | 3.0   | 120  | 1.2860          | 0.5875   |
+| No log        | 4.0   | 160  | 1.3801          | 0.5375   |
+| No log        | 5.0   | 200  | 1.3808          | 0.55     |
+| No log        | 6.0   | 240  | 1.4464          | 0.525    |
+| No log        | 7.0   | 280  | 1.5266          | 0.5188   |
+| No log        | 8.0   | 320  | 1.4280          | 0.5188   |
+| No log        | 9.0   | 360  | 1.3953          | 0.5687   |
+| No log        | 10.0  | 400  | 1.4902          | 0.5312   |
+| No log        | 11.0  | 440  | 1.3965          | 0.5625   |
+| No log        | 12.0  | 480  | 1.4328          | 0.55     |
+| 0.1776        | 13.0  | 520  | 1.5172          | 0.5188   |
+| 0.1776        | 14.0  | 560  | 1.6457          | 0.5062   |
+| 0.1776        | 15.0  | 600  | 1.4402          | 0.5375   |
 
 
 ### Framework versions

model.safetensors

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