update model card README.md

README.md

@@ -17,10 +17,10 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1724
-- Accuracy: 0.9323
-- F1: 0.9304
-- Log Loss: 2.3373
+- Loss: 0.2231
+- Accuracy: 0.9119
+- F1: 0.9086
+- Log Loss: 3.0422
 
 ## Model description
 
@@ -49,19 +49,20 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 3
+- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Log Loss |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|
-| 0.2618        | 0.98  | 32   | 0.2220          | 0.9066   | 0.9033 | 3.2276   |
-| 0.1771        | 1.98  | 64   | 0.1711          | 0.9291   | 0.9271 | 2.4486   |
-| 0.1575        | 2.98  | 96   | 0.1724          | 0.9323   | 0.9304 | 2.3373   |
+| 0.2538        | 0.98  | 32   | 0.2327          | 0.9055   | 0.9018 | 3.2647   |
+| 0.1735        | 1.98  | 64   | 0.2029          | 0.9151   | 0.9122 | 2.9309   |
+| 0.1562        | 2.98  | 96   | 0.2231          | 0.9119   | 0.9086 | 3.0422   |
 
 
 ### Framework versions
 
-- Transformers 4.26.0
-- Pytorch 1.13.1+cu116
-- Datasets 2.9.0
-- Tokenizers 0.13.2
+- Transformers 4.27.0.dev0
+- Pytorch 1.11.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1