Model save

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: microsoft/swinv2-tiny-patch4-window16-256
 tags:
-- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test-seed
 
-This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on the don't care dataset.
+This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5369
-- Accuracy: 0.8125
+- Loss: 0.6797
+- Accuracy: 0.75
 
 ## Model description
 
@@ -41,7 +40,7 @@ The following hyperparameters were used during training:
 - learning_rate: 0.0003
 - train_batch_size: 64
 - eval_batch_size: 16
-- seed: 69420
+- seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 2
@@ -50,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 10   | 0.7263          | 0.7625   |
-| No log        | 2.0   | 20   | 0.5369          | 0.8125   |
+| No log        | 1.0   | 10   | 0.6739          | 0.7375   |
+| No log        | 2.0   | 20   | 0.4469          | 0.875    |
 
 
 ### Framework versions

runs/May19_14-53-04_262db849d6b2/events.out.tfevents.1716130447.262db849d6b2.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c75e032147fb2787406bfdc164e6d56c22b40f677694ba38bf972c11fc210613
+size 405