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End of training

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  1. README.md +2 -1
  2. trainer_state.json +60 -0
README.md CHANGED
@@ -3,6 +3,7 @@ library_name: transformers
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224
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  tags:
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # PagesClassificationModel
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- This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0031
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  - Accuracy: 1.0
 
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224
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  tags:
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+ - image-classification
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
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  # PagesClassificationModel
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+ This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the private_images_dataset dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0031
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  - Accuracy: 1.0
trainer_state.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "best_metric": null,
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+ "is_hyper_param_search": false,
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+ {
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+ "train_steps_per_second": 1.095
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+ {
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+ "epoch": 3.0,
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+ "eval_loss": 0.003107850207015872,
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+ "eval_samples_per_second": 10.05,
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+ "step": 51
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+ {
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+ "epoch": 3.0,
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+ "logging_steps": 500,
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+ "num_train_epochs": 3,
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+ "save_steps": 500,
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+ "stateful_callbacks": {
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+ "should_epoch_stop": false,
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+ "total_flos": 3.045462487125811e+16,
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+ "train_batch_size": 8,
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+ "trial_name": null,
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+ }