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Hemg
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heartbeat-detection

Audio Classification
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Safetensors
hubert
Generated from Trainer
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  1. README.md +15 -16
  2. model.safetensors +1 -1
  3. runs/Apr04_14-48-45_81dc2d2345f2/events.out.tfevents.1712242126.81dc2d2345f2.165.0 +2 -2
README.md CHANGED
@@ -32,7 +32,7 @@ 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 the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4420
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  - Accuracy: 1.0
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  ## Model description
@@ -58,26 +58,25 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 16
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.6017 | 1.0 | 8 | 1.5921 | 0.1481 |
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- | 1.582 | 2.0 | 16 | 1.5723 | 0.4444 |
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- | 1.5626 | 3.0 | 24 | 1.5543 | 0.7778 |
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- | 1.5442 | 4.0 | 32 | 1.5375 | 0.8148 |
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- | 1.5278 | 5.0 | 40 | 1.5220 | 0.8889 |
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- | 1.512 | 6.0 | 48 | 1.5077 | 0.9259 |
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- | 1.4977 | 7.0 | 56 | 1.4947 | 0.9259 |
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- | 1.4872 | 8.0 | 64 | 1.4832 | 0.9630 |
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- | 1.4741 | 9.0 | 72 | 1.4729 | 0.9630 |
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- | 1.4657 | 10.0 | 80 | 1.4640 | 0.9630 |
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- | 1.457 | 11.0 | 88 | 1.4564 | 1.0 |
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- | 1.4504 | 12.0 | 96 | 1.4502 | 1.0 |
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- | 1.4445 | 13.0 | 104 | 1.4454 | 1.0 |
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- | 1.4393 | 14.0 | 112 | 1.4420 | 1.0 |
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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 the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4209
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  - Accuracy: 1.0
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  ## Model description
 
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.6703 | 1.0 | 8 | 1.6557 | 0.0 |
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+ | 1.6511 | 2.0 | 16 | 1.6330 | 0.0 |
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+ | 1.6297 | 3.0 | 24 | 1.6107 | 0.0370 |
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+ | 1.6067 | 4.0 | 32 | 1.5888 | 0.5185 |
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+ | 1.584 | 5.0 | 40 | 1.5672 | 0.8148 |
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+ | 1.563 | 6.0 | 48 | 1.5458 | 0.8889 |
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+ | 1.5421 | 7.0 | 56 | 1.5245 | 0.9259 |
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+ | 1.5211 | 8.0 | 64 | 1.5035 | 0.9259 |
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+ | 1.4999 | 9.0 | 72 | 1.4825 | 1.0 |
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+ | 1.4789 | 10.0 | 80 | 1.4617 | 1.0 |
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+ | 1.4575 | 11.0 | 88 | 1.4412 | 1.0 |
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+ | 1.4368 | 12.0 | 96 | 1.4209 | 1.0 |
 
 
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  ### Framework versions
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