End of training

README.md

@@ -5,24 +5,9 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: image_classification
-  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: 0.36875
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +17,13 @@ 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: 1.5867
-- Accuracy: 0.3688
+- eval_loss: 1.3813
+- eval_accuracy: 0.5312
+- eval_runtime: 179.1366
+- eval_samples_per_second: 0.893
+- eval_steps_per_second: 0.056
+- epoch: 9.43
+- step: 377
 
 ## Model description
 
@@ -58,18 +48,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 40   | 1.8864          | 0.225    |
-| No log        | 2.0   | 80   | 1.6548          | 0.3125   |
-| No log        | 3.0   | 120  | 1.5627          | 0.4188   |
-| No log        | 4.0   | 160  | 1.5115          | 0.4125   |
-| No log        | 5.0   | 200  | 1.4971          | 0.3875   |
-
+- num_epochs: 40
 
 ### Framework versions
 

model.safetensors

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runs/Feb16_23-15-00_f7d6dbdd4b89/events.out.tfevents.1708125307.f7d6dbdd4b89.728.2

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