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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 +10 -11
  2. model.safetensors +1 -1
  3. runs/Apr04_06-32-10_cc68affaad08/events.out.tfevents.1712212330.cc68affaad08.143.7 +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 [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0986
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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: 5e-05
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- - train_batch_size: 32
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- - eval_batch_size: 32
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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: 0.1
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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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- | 1.5932 | 1.0 | 3 | 1.5907 | 0.3333 |
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- | 1.5499 | 2.0 | 6 | 1.4593 | 1.0 |
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- | 1.4481 | 3.0 | 9 | 1.3419 | 1.0 |
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- | 1.3044 | 4.0 | 12 | 1.2065 | 1.0 |
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- | 1.193 | 5.0 | 15 | 1.0986 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9789
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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: 2e-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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  - 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: 8
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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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+ | 1.502 | 1.0 | 9 | 1.4299 | 1.0 |
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+ | 1.36 | 2.0 | 18 | 1.2031 | 1.0 |
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+ | 1.1624 | 3.0 | 27 | 1.1131 | 1.0 |
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+ | 1.0597 | 4.0 | 36 | 0.9789 | 1.0 |
 
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  ### Framework versions
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