End of training

README.md

@@ -4,8 +4,6 @@ license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: Food_Classifer_NoviceMK-I
   results: []
@@ -18,8 +16,13 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.9452
-- Accuracy: 0.2332
+- eval_loss: 4.2894
+- eval_accuracy: 0.3546
+- eval_runtime: 65.1366
+- eval_samples_per_second: 33.898
+- eval_steps_per_second: 2.119
+- epoch: 10.0
+- step: 1380
 
 ## Model description
 
@@ -47,16 +50,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 6.1717        | 1.0   | 138  | 6.1566          | 0.0915   |
-| 5.972         | 2.0   | 276  | 5.9996          | 0.2065   |
-| 5.8591        | 3.0   | 414  | 5.9452          | 0.2332   |
-
+- num_epochs: 15
 
 ### Framework versions
 

model.safetensors

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runs/Nov29_11-55-05_9d8e21a20ab0/events.out.tfevents.1732881315.9d8e21a20ab0.30.2

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