End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.38125
+      value: 0.61875
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8731
-- Accuracy: 0.3812
+- Loss: 1.2094
+- Accuracy: 0.6188
 
 ## Model description
 
@@ -61,15 +61,32 @@ 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: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0558        | 1.0   | 10   | 2.0062          | 0.2875   |
-| 1.9499        | 2.0   | 20   | 1.9315          | 0.3      |
-| 1.8675        | 3.0   | 30   | 1.8830          | 0.3625   |
+| 1.8174        | 1.0   | 10   | 1.8349          | 0.4062   |
+| 1.7364        | 2.0   | 20   | 1.6966          | 0.4      |
+| 1.6087        | 3.0   | 30   | 1.5892          | 0.45     |
+| 1.4904        | 4.0   | 40   | 1.4914          | 0.4875   |
+| 1.4009        | 5.0   | 50   | 1.4288          | 0.5125   |
+| 1.3129        | 6.0   | 60   | 1.3619          | 0.575    |
+| 1.2233        | 7.0   | 70   | 1.3622          | 0.5687   |
+| 1.1419        | 8.0   | 80   | 1.3047          | 0.5188   |
+| 1.094         | 9.0   | 90   | 1.2763          | 0.6062   |
+| 1.0366        | 10.0  | 100  | 1.2496          | 0.5625   |
+| 0.9785        | 11.0  | 110  | 1.2368          | 0.6      |
+| 0.9435        | 12.0  | 120  | 1.1960          | 0.6438   |
+| 0.9031        | 13.0  | 130  | 1.2083          | 0.5563   |
+| 0.8829        | 14.0  | 140  | 1.2629          | 0.5188   |
+| 0.824         | 15.0  | 150  | 1.2061          | 0.5938   |
+| 0.7952        | 16.0  | 160  | 1.2630          | 0.55     |
+| 0.7744        | 17.0  | 170  | 1.2329          | 0.5625   |
+| 0.7487        | 18.0  | 180  | 1.2259          | 0.5437   |
+| 0.7381        | 19.0  | 190  | 1.1750          | 0.5813   |
+| 0.7261        | 20.0  | 200  | 1.1802          | 0.575    |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:af2d98752e8fed72eade6ed213ed199cdf6be1631ecf1f4938116d68c9a4484c
+oid sha256:b87c3497948c97cd025b052ce2189842d0fc68cbcdda627aa1e55030908dc3fc
 size 343287149