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Hemg
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heartbeat-detection

Audio Classification
Transformers
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Safetensors
hubert
Generated from Trainer
Eval Results
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  1. README.md +20 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 1.0
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.9509
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- - Accuracy: 1.0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.5069 | 1.0 | 8 | 1.4036 | 1.0 |
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- | 1.3238 | 2.0 | 16 | 1.2286 | 1.0 |
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- | 1.1594 | 3.0 | 24 | 1.0787 | 1.0 |
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- | 1.0231 | 4.0 | 32 | 0.9509 | 1.0 |
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9629629629629629
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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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: 1.4766
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+ - Accuracy: 0.9630
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.6241 | 1.0 | 8 | 1.6177 | 0.0 |
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+ | 1.6057 | 2.0 | 16 | 1.5995 | 0.0 |
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+ | 1.5872 | 3.0 | 24 | 1.5829 | 0.0370 |
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+ | 1.5703 | 4.0 | 32 | 1.5674 | 0.0741 |
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+ | 1.5557 | 5.0 | 40 | 1.5532 | 0.2593 |
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+ | 1.5415 | 6.0 | 48 | 1.5401 | 0.4815 |
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+ | 1.5285 | 7.0 | 56 | 1.5282 | 0.7037 |
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+ | 1.5172 | 8.0 | 64 | 1.5175 | 0.7778 |
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+ | 1.5074 | 9.0 | 72 | 1.5080 | 0.8519 |
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+ | 1.4975 | 10.0 | 80 | 1.4998 | 0.8519 |
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+ | 1.4906 | 11.0 | 88 | 1.4928 | 0.9259 |
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+ | 1.4844 | 12.0 | 96 | 1.4870 | 0.9259 |
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+ | 1.4788 | 13.0 | 104 | 1.4825 | 0.9630 |
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+ | 1.4744 | 14.0 | 112 | 1.4793 | 0.9630 |
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+ | 1.4718 | 15.0 | 120 | 1.4773 | 0.9630 |
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+ | 1.4704 | 16.0 | 128 | 1.4766 | 0.9630 |
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  ### Framework versions
model.safetensors CHANGED
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