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AkshilShah21
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finetuned-food

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results (legacy)
Model card Files
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  1. README.md +3 -2
  2. all_results.json +13 -0
  3. eval_results.json +8 -0
  4. train_results.json +8 -0
  5. trainer_state.json +3172 -0
README.md CHANGED
@@ -2,6 +2,7 @@
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224-in21k
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - imagefolder
@@ -14,7 +15,7 @@ model-index:
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  name: Image Classification
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  type: image-classification
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  dataset:
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- name: imagefolder
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  type: imagefolder
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  config: default
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  split: train
@@ -30,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
30
 
31
  # finetuned-food
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33
- 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.
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  It achieves the following results on the evaluation set:
35
  - Loss: 0.2816
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  - Accuracy: 0.9282
 
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224-in21k
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  tags:
5
+ - image-classification
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  - generated_from_trainer
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  datasets:
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  - imagefolder
 
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  name: Image Classification
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  type: image-classification
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  dataset:
18
+ name: food_images_classification
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  type: imagefolder
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  config: default
21
  split: train
 
31
 
32
  # finetuned-food
33
 
34
+ 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 food_images_classification dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2816
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  - Accuracy: 0.9282
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