Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.32105263157894737
+      value: 0.6947368421052632
 ---
 
 <!-- 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 [microsoft/cvt-13](https://huggingface.co/microsoft/cvt-13) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1355
-- Accuracy: 0.3211
+- Loss: 1.0659
+- Accuracy: 0.6947
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.0002
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -61,15 +61,18 @@ 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: 6
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 2.2813        | 0.9362 | 11   | 2.2230          | 0.2158   |
-| 2.2185        | 1.9574 | 23   | 2.1544          | 0.3263   |
-| 2.1776        | 2.8085 | 33   | 2.1355          | 0.3211   |
+| 2.0879        | 0.9362 | 11   | 1.8334          | 0.4316   |
+| 1.7897        | 1.9574 | 23   | 1.4727          | 0.5789   |
+| 1.5798        | 2.9787 | 35   | 1.2478          | 0.5895   |
+| 1.4111        | 4.0    | 47   | 1.1628          | 0.6211   |
+| 1.3642        | 4.9362 | 58   | 1.0785          | 0.6842   |
+| 1.2403        | 5.6170 | 66   | 1.0659          | 0.6947   |
 
 
 ### Framework versions