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distilhubert-finetuned-cry-detector

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  1. README.md +20 -2
  2. checkpoint-170/config.json +3 -2
  3. checkpoint-170/model.safetensors +1 -1
  4. checkpoint-170/optimizer.pt +1 -1
  5. checkpoint-170/scheduler.pt +1 -1
  6. checkpoint-170/trainer_state.json +19 -13
  7. checkpoint-170/training_args.bin +1 -1
  8. checkpoint-256/config.json +3 -2
  9. checkpoint-256/model.safetensors +1 -1
  10. checkpoint-256/optimizer.pt +1 -1
  11. checkpoint-256/scheduler.pt +1 -1
  12. checkpoint-256/trainer_state.json +27 -18
  13. checkpoint-256/training_args.bin +1 -1
  14. checkpoint-341/config.json +3 -2
  15. checkpoint-341/model.safetensors +1 -1
  16. checkpoint-341/optimizer.pt +1 -1
  17. checkpoint-341/scheduler.pt +1 -1
  18. checkpoint-341/trainer_state.json +35 -23
  19. checkpoint-341/training_args.bin +1 -1
  20. checkpoint-426/config.json +3 -2
  21. checkpoint-426/model.safetensors +1 -1
  22. checkpoint-426/optimizer.pt +1 -1
  23. checkpoint-426/scheduler.pt +1 -1
  24. checkpoint-426/trainer_state.json +44 -29
  25. checkpoint-426/training_args.bin +1 -1
  26. checkpoint-512/config.json +3 -2
  27. checkpoint-512/model.safetensors +1 -1
  28. checkpoint-512/optimizer.pt +1 -1
  29. checkpoint-512/scheduler.pt +1 -1
  30. checkpoint-512/trainer_state.json +54 -36
  31. checkpoint-512/training_args.bin +1 -1
  32. checkpoint-597/config.json +3 -2
  33. checkpoint-597/model.safetensors +1 -1
  34. checkpoint-597/optimizer.pt +1 -1
  35. checkpoint-597/scheduler.pt +1 -1
  36. checkpoint-597/trainer_state.json +62 -41
  37. checkpoint-597/training_args.bin +1 -1
  38. checkpoint-680/config.json +81 -0
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  40. checkpoint-680/optimizer.pt +3 -0
  41. checkpoint-680/rng_state.pth +3 -0
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  46. checkpoint-85/optimizer.pt +1 -1
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  48. checkpoint-85/scheduler.pt +1 -1
  49. checkpoint-85/trainer_state.json +13 -13
  50. checkpoint-85/training_args.bin +1 -1
README.md CHANGED
@@ -4,6 +4,11 @@ license: apache-2.0
4
  base_model: ntu-spml/distilhubert
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  tags:
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: distilhubert-finetuned-cry-detector
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  results: []
@@ -15,6 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilhubert-finetuned-cry-detector
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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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  ## Model description
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@@ -42,13 +53,20 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.001
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- - num_epochs: 1
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  ### Training results
48
 
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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 | 0.1412 | 0.9480 | 0.9478 | 0.9480 | 0.9476 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  base_model: ntu-spml/distilhubert
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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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+ - precision
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+ - recall
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+ - f1
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  model-index:
13
  - name: distilhubert-finetuned-cry-detector
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  results: []
 
20
  # distilhubert-finetuned-cry-detector
21
 
22
  This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on an unknown dataset.
23
+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0878
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+ - Accuracy: 0.9861
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+ - Precision: 0.9861
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+ - Recall: 0.9861
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+ - F1: 0.9861
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30
  ## Model description
31
 
 
53
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
54
  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.001
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+ - num_epochs: 8
57
 
58
  ### Training results
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
61
  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 0.9956 | 85 | 0.1204 | 0.9641 | 0.9641 | 0.9641 | 0.9638 |
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+ | No log | 1.9912 | 170 | 0.0847 | 0.9773 | 0.9772 | 0.9773 | 0.9773 |
64
+ | No log | 2.9985 | 256 | 0.1025 | 0.9766 | 0.9769 | 0.9766 | 0.9766 |
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+ | No log | 3.9941 | 341 | 0.0869 | 0.9832 | 0.9835 | 0.9832 | 0.9832 |
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+ | No log | 4.9898 | 426 | 0.0746 | 0.9832 | 0.9834 | 0.9832 | 0.9832 |
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+ | 0.0538 | 5.9971 | 512 | 0.0870 | 0.9861 | 0.9861 | 0.9861 | 0.9861 |
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+ | 0.0538 | 6.9927 | 597 | 0.0890 | 0.9861 | 0.9861 | 0.9861 | 0.9861 |
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+ | 0.0538 | 7.9649 | 680 | 0.0878 | 0.9861 | 0.9861 | 0.9861 | 0.9861 |
70
 
71
 
72
  ### Framework versions
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