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Marcos12886
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distilhubert-finetuned-cry-detector

Audio Classification
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hubert
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End of training

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  1. README.md +15 -9
  2. model.safetensors +1 -1
  3. runs/Sep10_15-54-43_ubumarcos/events.out.tfevents.1725976484.ubumarcos +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0496
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- - Accuracy: 0.9868
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- - Precision: 0.9868
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- - Recall: 0.9868
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- - F1: 0.9868
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  ## Model description
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@@ -59,10 +59,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | No log | 0.9956 | 85 | 0.1269 | 0.9597 | 0.9606 | 0.9597 | 0.9600 |
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- | No log | 1.9912 | 170 | 0.0704 | 0.9802 | 0.9802 | 0.9802 | 0.9802 |
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- | No log | 2.9985 | 256 | 0.0525 | 0.9853 | 0.9853 | 0.9853 | 0.9853 |
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- | No log | 3.9941 | 341 | 0.0496 | 0.9868 | 0.9868 | 0.9868 | 0.9868 |
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0404
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+ - Accuracy: 0.9905
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+ - Precision: 0.9906
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+ - Recall: 0.9905
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+ - F1: 0.9905
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 0.9956 | 85 | 0.1607 | 0.9429 | 0.9455 | 0.9429 | 0.9435 |
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+ | No log | 1.9912 | 170 | 0.1011 | 0.9670 | 0.9669 | 0.9670 | 0.9669 |
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+ | No log | 2.9985 | 256 | 0.0582 | 0.9853 | 0.9857 | 0.9853 | 0.9854 |
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+ | No log | 3.9941 | 341 | 0.0424 | 0.9883 | 0.9884 | 0.9883 | 0.9883 |
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+ | No log | 4.9898 | 426 | 0.0489 | 0.9868 | 0.9870 | 0.9868 | 0.9869 |
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+ | 0.0815 | 5.9971 | 512 | 0.0408 | 0.9883 | 0.9883 | 0.9883 | 0.9883 |
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+ | 0.0815 | 6.9927 | 597 | 0.0395 | 0.9890 | 0.9891 | 0.9890 | 0.9890 |
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+ | 0.0815 | 8.0 | 683 | 0.0400 | 0.9905 | 0.9906 | 0.9905 | 0.9905 |
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+ | 0.0815 | 8.9956 | 768 | 0.0406 | 0.9905 | 0.9906 | 0.9905 | 0.9905 |
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+ | 0.0815 | 9.9561 | 850 | 0.0404 | 0.9905 | 0.9906 | 0.9905 | 0.9905 |
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  ### Framework versions
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