Model save

README.md

@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5721
+- Loss: 3.6202
 - Accuracy: 0.7333
 
 ## Model description
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.05
 - train_batch_size: 64
 - eval_batch_size: 64
 - seed: 42
@@ -61,15 +61,17 @@ 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: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 4    | 0.5773          | 0.7333   |
-| No log        | 2.0   | 8    | 0.5722          | 0.7333   |
-| 0.6255        | 3.0   | 12   | 0.5721          | 0.7333   |
+| No log        | 1.0   | 4    | 17.1475         | 0.7333   |
+| No log        | 2.0   | 8    | 15.6693         | 0.7333   |
+| 16.7023       | 3.0   | 12   | 28.5702         | 0.2667   |
+| 16.7023       | 4.0   | 16   | 4.1452          | 0.2667   |
+| 12.6945       | 5.0   | 20   | 3.6202          | 0.7333   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9b49e0a0562114d1ca61f7f0f10b5552950de907b0610c87fb8274504b09b97e
+oid sha256:363ea2250729234d580dbe61e6df8ccbd989bba58c541f9406c78c24c75a43cd
 size 110394865