End of training

README.md

@@ -3,11 +3,26 @@ license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
+datasets:
+- imagefolder
 metrics:
 - accuracy
 model-index:
 - name: image_classification
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.575
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # image_classification
 
-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.
+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: 0.1721
-- Accuracy: 0.9420
+- Loss: 1.4622
+- Accuracy: 0.575
 
 ## Model description
 
@@ -37,21 +52,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 1e-05
 - 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: linear
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 52   | 0.2860          | 0.9179   |
-| No log        | 2.0   | 104  | 0.1864          | 0.9517   |
-| No log        | 3.0   | 156  | 0.1810          | 0.9565   |
+| No log        | 1.0   | 40   | 1.5769          | 0.4625   |
+| No log        | 2.0   | 80   | 1.5299          | 0.525    |
+| No log        | 3.0   | 120  | 1.4961          | 0.55     |
+| No log        | 4.0   | 160  | 1.5013          | 0.5188   |
+| No log        | 5.0   | 200  | 1.4440          | 0.55     |
+| No log        | 6.0   | 240  | 1.4333          | 0.5687   |
+| No log        | 7.0   | 280  | 1.4314          | 0.5437   |
+| No log        | 8.0   | 320  | 1.4307          | 0.5437   |
+| No log        | 9.0   | 360  | 1.4264          | 0.5125   |
+| No log        | 10.0  | 400  | 1.4369          | 0.525    |
 
 
 ### Framework versions

model.safetensors

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 size 343242432

runs/Feb16_14-57-11_85c8b67f1e1a/events.out.tfevents.1708095446.85c8b67f1e1a.1961.2

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+size 8126

runs/Feb16_14-57-11_85c8b67f1e1a/events.out.tfevents.1708095828.85c8b67f1e1a.1961.3

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+version https://git-lfs.github.com/spec/v1
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