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Modelo de reconocimiento de rostros

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  1. README.md +2 -1
  2. all_results.json +8 -0
  3. eval_results.json +8 -0
README.md CHANGED
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  library_name: transformers
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  base_model: lokeshk/Face-Recognition-NM
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  tags:
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # faces_clasification_alcss
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- This model is a fine-tuned version of [lokeshk/Face-Recognition-NM](https://huggingface.co/lokeshk/Face-Recognition-NM) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.2189
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  - Accuracy: 0.5481
 
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  library_name: transformers
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  base_model: lokeshk/Face-Recognition-NM
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  tags:
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+ - image-classification, faces-recognition
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
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  # faces_clasification_alcss
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+ This model is a fine-tuned version of [lokeshk/Face-Recognition-NM](https://huggingface.co/lokeshk/Face-Recognition-NM) on the private_faces_dataset dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.2189
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  - Accuracy: 0.5481
all_results.json ADDED
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+ {
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+ "epoch": 10.0,
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+ "eval_accuracy": 0.5480769230769231,
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+ "eval_loss": 2.2189159393310547,
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+ "eval_runtime": 20.1264,
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+ "eval_samples_per_second": 10.335,
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+ "eval_steps_per_second": 1.292
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+ }
eval_results.json ADDED
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+ {
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+ "epoch": 10.0,
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+ "eval_accuracy": 0.5480769230769231,
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+ "eval_loss": 2.2189159393310547,
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+ "eval_runtime": 20.1264,
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+ "eval_samples_per_second": 10.335,
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+ "eval_steps_per_second": 1.292
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+ }