Model save

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1203
-- Accuracy: 0.9624
+- Loss: 0.0750
+- Accuracy: 0.9774
 
 ## Model description
 
@@ -44,14 +44,13 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 8
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.0793        | 3.8462 | 500  | 0.1203          | 0.9774   |
-| 0.0043        | 7.6923 | 1000 | 0.1203          | 0.9624   |
+| 0.0428        | 3.8462 | 500  | 0.0750          | 0.9774   |
 
 
 ### Framework versions

runs/Feb09_21-33-39_DESKTOP-6M18AAU/events.out.tfevents.1739133225.DESKTOP-6M18AAU.206471.5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dd338c50364633974c6eacccb438a44ea8f86de1255a9b159d5e20060a1a44b3
-size 5738
+oid sha256:c3453bffd39256a62650be3a39d2e29985aa3f4ea498b0dcd364d75489f6ceea
+size 6092