End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.54375
+      value: 0.5625
 ---
 
 <!-- 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: 1.3248
-- Accuracy: 0.5437
+- Loss: 1.3486
+- Accuracy: 0.5625
 
 ## Model description
 
@@ -53,36 +53,33 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 18
-- num_epochs: 18
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 20   | 1.4238          | 0.4625   |
-| No log        | 2.0   | 40   | 1.4238          | 0.4188   |
-| No log        | 3.0   | 60   | 1.4457          | 0.4625   |
-| No log        | 4.0   | 80   | 1.5008          | 0.45     |
-| No log        | 5.0   | 100  | 1.4511          | 0.5062   |
-| No log        | 6.0   | 120  | 1.6197          | 0.4375   |
-| No log        | 7.0   | 140  | 1.6023          | 0.45     |
-| No log        | 8.0   | 160  | 1.6301          | 0.4562   |
-| No log        | 9.0   | 180  | 1.7171          | 0.4688   |
-| No log        | 10.0  | 200  | 1.9459          | 0.3688   |
-| No log        | 11.0  | 220  | 1.8110          | 0.4062   |
-| No log        | 12.0  | 240  | 1.7246          | 0.425    |
-| No log        | 13.0  | 260  | 1.7258          | 0.475    |
-| No log        | 14.0  | 280  | 1.7419          | 0.475    |
-| No log        | 15.0  | 300  | 1.6547          | 0.4625   |
-| No log        | 16.0  | 320  | 1.7231          | 0.4625   |
-| No log        | 17.0  | 340  | 1.8635          | 0.4125   |
-| No log        | 18.0  | 360  | 1.6725          | 0.4562   |
+| No log        | 1.0   | 40   | 2.0210          | 0.2437   |
+| No log        | 2.0   | 80   | 1.7511          | 0.3187   |
+| No log        | 3.0   | 120  | 1.6444          | 0.3688   |
+| No log        | 4.0   | 160  | 1.5294          | 0.4188   |
+| No log        | 5.0   | 200  | 1.4306          | 0.45     |
+| No log        | 6.0   | 240  | 1.3968          | 0.4813   |
+| No log        | 7.0   | 280  | 1.3403          | 0.5312   |
+| No log        | 8.0   | 320  | 1.3413          | 0.4688   |
+| No log        | 9.0   | 360  | 1.3573          | 0.4437   |
+| No log        | 10.0  | 400  | 1.4416          | 0.4562   |
+| No log        | 11.0  | 440  | 1.3263          | 0.5188   |
+| No log        | 12.0  | 480  | 1.3960          | 0.4813   |
+| 1.1068        | 13.0  | 520  | 1.3476          | 0.5125   |
+| 1.1068        | 14.0  | 560  | 1.3720          | 0.5125   |
+| 1.1068        | 15.0  | 600  | 1.3614          | 0.4562   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3724005830263eca4cf522c311dc06445958d1c0a39ceeb9b6b2a2c9a28febc2
+oid sha256:abb4f2f1d998e916d25a0b6d3ed1a45d384507d167c2499c69f604863cb6d84a
 size 343242432

runs/Jun04_16-34-01_491ff11648f7/events.out.tfevents.1717519687.491ff11648f7.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba5cacf45b334cc5af3e9aa9030474a2340a6f0f4c8503a56fa3f4c1413b990f
+size 411