End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9818518518518519
+      value: 0.9885185185185185
 ---
 
 <!-- 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 [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0604
-- Accuracy: 0.9819
+- Loss: 0.0380
+- Accuracy: 0.9885
 
 ## Model description
 
@@ -61,15 +61,19 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 7
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1496        | 1.0   | 190  | 0.1372          | 0.9693   |
-| 0.0785        | 2.0   | 380  | 0.0715          | 0.9807   |
-| 0.0617        | 3.0   | 570  | 0.0604          | 0.9819   |
+| 0.1706        | 1.0   | 190  | 0.1626          | 0.9644   |
+| 0.0842        | 2.0   | 380  | 0.0780          | 0.9785   |
+| 0.0493        | 3.0   | 570  | 0.0536          | 0.9837   |
+| 0.0504        | 4.0   | 760  | 0.0492          | 0.9830   |
+| 0.0382        | 5.0   | 950  | 0.0425          | 0.9881   |
+| 0.0316        | 6.0   | 1140 | 0.0401          | 0.9867   |
+| 0.0252        | 7.0   | 1330 | 0.0380          | 0.9885   |
 
 
 ### Framework versions

runs/Apr08_21-33-59_4396488a80e6/events.out.tfevents.1712612628.4396488a80e6.141334.3

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+size 411