End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5375
+      value: 0.54375
 ---
 
 <!-- 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: 1.3694
-- Accuracy: 0.5375
+- Loss: 1.3248
+- Accuracy: 0.5437
 
 ## Model description
 
@@ -53,36 +53,36 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 9
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 18
 - num_epochs: 18
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 10   | 2.0629          | 0.1437   |
-| No log        | 2.0   | 20   | 2.0123          | 0.275    |
-| No log        | 3.0   | 30   | 1.9333          | 0.3312   |
-| No log        | 4.0   | 40   | 1.8060          | 0.3812   |
-| No log        | 5.0   | 50   | 1.7009          | 0.3563   |
-| No log        | 6.0   | 60   | 1.6149          | 0.4188   |
-| No log        | 7.0   | 70   | 1.5948          | 0.4437   |
-| No log        | 8.0   | 80   | 1.5391          | 0.5      |
-| No log        | 9.0   | 90   | 1.4770          | 0.4688   |
-| No log        | 10.0  | 100  | 1.5026          | 0.5      |
-| No log        | 11.0  | 110  | 1.4644          | 0.4437   |
-| No log        | 12.0  | 120  | 1.4115          | 0.5125   |
-| No log        | 13.0  | 130  | 1.4216          | 0.4813   |
-| No log        | 14.0  | 140  | 1.4086          | 0.5      |
-| No log        | 15.0  | 150  | 1.4093          | 0.5      |
-| No log        | 16.0  | 160  | 1.3891          | 0.4875   |
-| No log        | 17.0  | 170  | 1.3754          | 0.4938   |
-| No log        | 18.0  | 180  | 1.3779          | 0.5188   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

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 size 343242432

runs/Jun04_15-27-22_8246e4426da1/events.out.tfevents.1717515255.8246e4426da1.34.5

@@ -0,0 +1,3 @@
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+oid sha256:b43166af8b3a48e714bb05878c2744619ab0feaa84b11f01802515114fbb7017
+size 734