End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.525
+      value: 0.55625
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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: 1.4214
-- Accuracy: 0.525
+- Loss: 1.2851
+- Accuracy: 0.5563
 
 ## Model description
 
@@ -58,28 +58,28 @@ The following hyperparameters were used during training:
 - eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
+- lr_scheduler_type: cosine
 - num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 20   | 1.9534          | 0.325    |
-| No log        | 2.0   | 40   | 1.7394          | 0.425    |
-| No log        | 3.0   | 60   | 1.5766          | 0.5      |
-| No log        | 4.0   | 80   | 1.5163          | 0.475    |
-| No log        | 5.0   | 100  | 1.4214          | 0.525    |
-| No log        | 6.0   | 120  | 1.4110          | 0.4938   |
-| No log        | 7.0   | 140  | 1.3743          | 0.4813   |
-| No log        | 8.0   | 160  | 1.3190          | 0.5125   |
-| No log        | 9.0   | 180  | 1.3015          | 0.5125   |
-| No log        | 10.0  | 200  | 1.3349          | 0.475    |
-| No log        | 11.0  | 220  | 1.3449          | 0.4875   |
-| No log        | 12.0  | 240  | 1.3229          | 0.5188   |
-| No log        | 13.0  | 260  | 1.3345          | 0.5062   |
-| No log        | 14.0  | 280  | 1.3379          | 0.5125   |
-| No log        | 15.0  | 300  | 1.3352          | 0.5062   |
+| 1.9706        | 1.0   | 20   | 1.9258          | 0.35     |
+| 1.672         | 2.0   | 40   | 1.7025          | 0.4625   |
+| 1.4489        | 3.0   | 60   | 1.5581          | 0.4313   |
+| 1.2031        | 4.0   | 80   | 1.4534          | 0.5      |
+| 0.9503        | 5.0   | 100  | 1.3794          | 0.5      |
+| 0.758         | 6.0   | 120  | 1.3283          | 0.5312   |
+| 0.6021        | 7.0   | 140  | 1.3007          | 0.5125   |
+| 0.4784        | 8.0   | 160  | 1.2851          | 0.5563   |
+| 0.3682        | 9.0   | 180  | 1.2815          | 0.525    |
+| 0.3117        | 10.0  | 200  | 1.3074          | 0.5125   |
+| 0.2753        | 11.0  | 220  | 1.2945          | 0.525    |
+| 0.2585        | 12.0  | 240  | 1.2903          | 0.5375   |
+| 0.2483        | 13.0  | 260  | 1.2903          | 0.5437   |
+| 0.245         | 14.0  | 280  | 1.2927          | 0.5375   |
+| 0.2459        | 15.0  | 300  | 1.2925          | 0.5375   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a189047c4aedda48ef992dc9d41047f5c7f7a897e529b725f57d8916be32928d
+oid sha256:5f96e392632eabcef2dadde997a700b6da70e766f737ee60dbfb221bb31ce966
 size 343242432

runs/Sep06_12-52-14_3bd760fd5c6d/events.out.tfevents.1725627150.3bd760fd5c6d.2695.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d8389181976d666092e581a201327efe5631fd58744b80696a6b1bc2172c63a0
+size 16595

runs/Sep06_12-52-14_3bd760fd5c6d/events.out.tfevents.1725628836.3bd760fd5c6d.2695.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d379f10fe59af68e00d504de38f510dd16ea8a194cab445aadc8a835fe4ae3d
+size 411

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5510cc2f6c7301208628b2c1b792c618ec7463cbb2edc8aa229eb63f19080de0
+oid sha256:240058dd538156dc5fd695431b067f6f5df3c67f628cc227c36bbee63fb3940b
 size 5176