Model save

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: microsoft/swinv2-base-patch4-window12-192-22k
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: SWIN_finetuned_frozen_v3_cont
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # SWIN_finetuned_frozen_v3_cont
 
 This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Accuracy: 0.6785
+- Loss: 1.9857
 
 ## Model description
 
@@ -40,6 +45,28 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 15.0
 
+### Training results
+
+| Training Loss | Epoch | Step  | Accuracy | Validation Loss |
+|:-------------:|:-----:|:-----:|:--------:|:---------------:|
+| 1.6863        | 1.0   | 1313  | 0.5757   | 1.9559          |
+| 1.3275        | 2.0   | 2626  | 0.6061   | 1.8276          |
+| 1.151         | 3.0   | 3939  | 0.6130   | 1.8857          |
+| 1.0336        | 4.0   | 5252  | 0.6322   | 1.8160          |
+| 0.947         | 5.0   | 6565  | 0.6317   | 1.8051          |
+| 0.8595        | 6.0   | 7878  | 0.6443   | 1.7996          |
+| 0.801         | 7.0   | 9191  | 0.6534   | 1.7987          |
+| 0.7508        | 8.0   | 10504 | 0.6522   | 1.7864          |
+| 0.694         | 9.0   | 11817 | 0.6526   | 1.8871          |
+| 0.6523        | 10.0  | 13130 | 0.6648   | 1.8057          |
+| 0.5976        | 11.0  | 14443 | 0.6707   | 1.8514          |
+| 0.5743        | 12.0  | 15756 | 0.6629   | 1.9271          |
+| 0.5426        | 13.0  | 17069 | 0.6692   | 1.9221          |
+| 0.5092        | 14.0  | 18382 | 0.6752   | 1.9164          |
+| 0.4808        | 15.0  | 19695 | 0.6743   | 1.9259          |
+| 0.4611        | 16.0  | 21008 | 0.6785   | 1.9857          |
+
+
 ### Framework versions
 
 - Transformers 4.33.3