End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.56875
+      value: 0.58125
 ---
 
 <!-- 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: 1.2074
-- Accuracy: 0.5687
+- Loss: 1.2113
+- Accuracy: 0.5813
 
 ## Model description
 
@@ -53,28 +53,33 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- 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
-- lr_scheduler_warmup_steps: 8
-- num_epochs: 10
+- lr_scheduler_warmup_steps: 12
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 80   | 1.7180          | 0.3812   |
-| No log        | 2.0   | 160  | 1.5309          | 0.3625   |
-| No log        | 3.0   | 240  | 1.4981          | 0.4188   |
-| No log        | 4.0   | 320  | 1.4135          | 0.4313   |
-| No log        | 5.0   | 400  | 1.3722          | 0.4562   |
-| No log        | 6.0   | 480  | 1.3234          | 0.5188   |
-| 1.3335        | 7.0   | 560  | 1.2675          | 0.525    |
-| 1.3335        | 8.0   | 640  | 1.3068          | 0.5125   |
-| 1.3335        | 9.0   | 720  | 1.2965          | 0.5437   |
-| 1.3335        | 10.0  | 800  | 1.3408          | 0.5125   |
+| No log        | 1.0   | 40   | 1.9756          | 0.2313   |
+| No log        | 2.0   | 80   | 1.6788          | 0.3937   |
+| No log        | 3.0   | 120  | 1.5219          | 0.5375   |
+| No log        | 4.0   | 160  | 1.4542          | 0.45     |
+| No log        | 5.0   | 200  | 1.3923          | 0.5      |
+| No log        | 6.0   | 240  | 1.3595          | 0.4437   |
+| No log        | 7.0   | 280  | 1.3111          | 0.5125   |
+| No log        | 8.0   | 320  | 1.2050          | 0.5625   |
+| No log        | 9.0   | 360  | 1.2387          | 0.5437   |
+| No log        | 10.0  | 400  | 1.2847          | 0.5437   |
+| No log        | 11.0  | 440  | 1.2048          | 0.5625   |
+| No log        | 12.0  | 480  | 1.2270          | 0.5563   |
+| 1.0855        | 13.0  | 520  | 1.2058          | 0.5875   |
+| 1.0855        | 14.0  | 560  | 1.1999          | 0.5625   |
+| 1.0855        | 15.0  | 600  | 1.2032          | 0.5687   |
 
 
 ### Framework versions

model.safetensors

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 version https://git-lfs.github.com/spec/v1
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 size 343242432

runs/Jun04_17-31-53_e9cfaf10c209/events.out.tfevents.1717522714.e9cfaf10c209.34.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6b2fb8610d2beda8659344c4667875fc06e48172a6220af40be41848b44da5d5
+size 1057