EloiCampeny commited on
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ce33fec
1 Parent(s): 01a5001

first image-classification model with hugging face done

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Files changed (4) hide show
  1. README.md +20 -1
  2. all_results.json +13 -0
  3. eval_results.json +8 -0
  4. train_results.json +8 -0
README.md CHANGED
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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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  - beans
 
 
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  model-index:
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  - name: platzi-vit-model-eloi-campeny
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # platzi-vit-model-eloi-campeny
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  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 beans dataset.
 
 
 
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  ## Model description
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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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  - beans
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: platzi-vit-model-eloi-campeny
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+ results:
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+ - task:
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+ name: Image Classification
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+ type: image-classification
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+ dataset:
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+ name: beans
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+ type: beans
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+ config: default
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+ split: validation
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+ args: default
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9849624060150376
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # platzi-vit-model-eloi-campeny
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  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 beans dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0479
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+ - Accuracy: 0.9850
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  ## Model description
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all_results.json ADDED
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+ {
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+ "epoch": 1.0,
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+ "eval_accuracy": 0.9849624060150376,
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+ "eval_loss": 0.04787198454141617,
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+ "eval_runtime": 20.3077,
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+ "eval_samples_per_second": 6.549,
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+ "eval_steps_per_second": 0.837,
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+ "total_flos": 8.012743541191066e+16,
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+ "train_loss": 0.13243921720064603,
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+ "train_runtime": 482.5243,
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+ "train_samples_per_second": 2.143,
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+ "train_steps_per_second": 0.269
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+ }
eval_results.json ADDED
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+ {
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+ "epoch": 1.0,
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+ "eval_accuracy": 0.9849624060150376,
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+ "eval_loss": 0.04787198454141617,
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+ "eval_runtime": 20.3077,
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+ "eval_samples_per_second": 6.549,
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+ "eval_steps_per_second": 0.837
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+ }
train_results.json ADDED
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+ {
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+ "epoch": 1.0,
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+ "total_flos": 8.012743541191066e+16,
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+ "train_loss": 0.13243921720064603,
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+ "train_runtime": 482.5243,
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+ "train_samples_per_second": 2.143,
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+ "train_steps_per_second": 0.269
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+ }