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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 +10 -10
  2. model.safetensors +1 -1
  3. runs/Sep10_14-04-00_ubumarcos/events.out.tfevents.1725969841.ubumarcos +3 -0
  4. runs/Sep10_15-44-20_ubumarcos/events.out.tfevents.1725975861.ubumarcos +3 -0
  5. 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: 0.0625
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- - Accuracy: 0.9824
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- - Precision: 0.9825
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- - Recall: 0.9824
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- - F1: 0.9824
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  ## Model description
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@@ -53,16 +53,16 @@ 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: 4
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  ### Training results
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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 | 0.1378 | 0.9546 | 0.9543 | 0.9546 | 0.9544 |
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- | No log | 1.9912 | 170 | 0.0802 | 0.9714 | 0.9713 | 0.9714 | 0.9714 |
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- | No log | 2.9985 | 256 | 0.0682 | 0.9780 | 0.9783 | 0.9780 | 0.9781 |
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- | No log | 3.9824 | 340 | 0.0625 | 0.9824 | 0.9825 | 0.9824 | 0.9824 |
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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: 0.0496
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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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  - 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: 10
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  ### Training results
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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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