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  1. README.md +5 -2
  2. all_results.json +12 -0
  3. eval_results.json +8 -0
  4. train_results.json +7 -0
  5. trainer_state.json +3358 -0
README.md CHANGED
@@ -1,5 +1,8 @@
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  ---
 
 
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - imagefolder
@@ -12,7 +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
@@ -28,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit_epochs5_batch32_lr5e-05_size224_tiles1_seed1_vit_lr
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- This model was trained from scratch on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6761
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  - Accuracy: 0.5736
 
1
  ---
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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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+ - 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:
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+ name: Dogs_vs_Cats
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  type: imagefolder
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  config: default
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  split: train
 
31
 
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  # vit_epochs5_batch32_lr5e-05_size224_tiles1_seed1_vit_lr
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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 Dogs_vs_Cats dataset.
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  It achieves the following results on the evaluation set:
36
  - Loss: 0.6761
37
  - Accuracy: 0.5736
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