Modelo de reconocimiento de rostros
Browse files- README.md +2 -1
- all_results.json +8 -0
- eval_results.json +8 -0
README.md
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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
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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
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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
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all_results.json
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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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}
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eval_results.json
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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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}
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