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distilhubert-finetuned-cry-detector

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End of training

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  1. README.md +12 -15
  2. config.json +0 -4
  3. model.safetensors +1 -1
  4. runs/Sep08_20-50-08_ubumarcos/events.out.tfevents.1725821409.ubumarcos +3 -0
  5. runs/Sep08_21-13-48_ubumarcos/events.out.tfevents.1725822829.ubumarcos +3 -0
  6. runs/Sep09_13-04-47_ubumarcos/events.out.tfevents.1725879901.ubumarcos +3 -0
  7. runs/Sep09_17-59-20_ubumarcos/events.out.tfevents.1725897561.ubumarcos +3 -0
  8. runs/Sep09_18-10-13_ubumarcos/events.out.tfevents.1725898215.ubumarcos +3 -0
  9. runs/Sep09_18-10-24_ubumarcos/events.out.tfevents.1725898225.ubumarcos +3 -0
  10. runs/Sep10_00-34-48_ubumarcos/events.out.tfevents.1725921289.ubumarcos +3 -0
  11. runs/Sep10_13-50-43_ubumarcos/events.out.tfevents.1725969044.ubumarcos +3 -0
  12. runs/Sep10_16-47-34_ubumarcos/events.out.tfevents.1725979656.ubumarcos +3 -0
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  14. runs/Sep10_17-06-04_ubumarcos/events.out.tfevents.1725980765.ubumarcos +3 -0
  15. runs/Sep10_17-23-08_ubumarcos/events.out.tfevents.1725981789.ubumarcos +3 -0
  16. 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: 0.0404
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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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@@ -59,16 +59,13 @@ 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 | 0.1607 | 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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  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: 0.0269
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+ - Accuracy: 0.9912
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+ - Precision: 0.9913
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+ - Recall: 0.9912
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+ - F1: 0.9912
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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 | 0.1214 | 0.9582 | 0.9581 | 0.9582 | 0.9581 |
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+ | No log | 1.9912 | 170 | 0.0622 | 0.9780 | 0.9781 | 0.9780 | 0.9780 |
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+ | No log | 2.9985 | 256 | 0.0362 | 0.9890 | 0.9890 | 0.9890 | 0.9890 |
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+ | No log | 3.9941 | 341 | 0.0336 | 0.9927 | 0.9927 | 0.9927 | 0.9927 |
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+ | No log | 4.9898 | 426 | 0.0278 | 0.9905 | 0.9905 | 0.9905 | 0.9905 |
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+ | 0.0857 | 5.9971 | 512 | 0.0246 | 0.9927 | 0.9927 | 0.9927 | 0.9927 |
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+ | 0.0857 | 6.9927 | 597 | 0.0269 | 0.9912 | 0.9913 | 0.9912 | 0.9912 |
 
 
 
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  ### Framework versions
config.json CHANGED
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  },
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  "intermediate_size": 3072,
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- "crying": 0,
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- "no_crying": 1
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- },
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  "layer_norm_eps": 1e-05,
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  "layerdrop": 0.0,
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  "mask_feature_length": 10,
 
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
 
 
 
 
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  "layer_norm_eps": 1e-05,
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