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hwhjones
/
distilhubertmk36

Audio Classification
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Safetensors
hubert
Generated from Trainer
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End of training

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  1. README.md +14 -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: 0.75
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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 GTZAN dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8649
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- - Accuracy: 0.75
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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: linear
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  - lr_scheduler_warmup_ratio: 0.01
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- - num_epochs: 4
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  - mixed_precision_training: Native AMP
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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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- | 1.5332 | 1.0 | 225 | 1.4182 | 0.59 |
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- | 0.9796 | 2.0 | 450 | 1.0396 | 0.64 |
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- | 0.5419 | 3.0 | 675 | 0.9305 | 0.74 |
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- | 0.5268 | 4.0 | 900 | 0.8649 | 0.75 |
 
 
 
 
 
 
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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: 0.87
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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 GTZAN dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8185
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+ - Accuracy: 0.87
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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: linear
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  - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 10
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  - mixed_precision_training: Native AMP
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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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+ | 0.668 | 1.0 | 225 | 0.5547 | 0.84 |
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+ | 0.4179 | 2.0 | 450 | 0.7757 | 0.74 |
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+ | 0.0298 | 3.0 | 675 | 0.7077 | 0.84 |
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+ | 0.2144 | 4.0 | 900 | 0.6262 | 0.87 |
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+ | 0.0079 | 5.0 | 1125 | 0.6068 | 0.88 |
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+ | 0.0021 | 6.0 | 1350 | 0.8321 | 0.84 |
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+ | 0.0014 | 7.0 | 1575 | 0.9661 | 0.84 |
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+ | 0.0013 | 8.0 | 1800 | 0.7852 | 0.86 |
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+ | 0.001 | 9.0 | 2025 | 0.8126 | 0.86 |
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+ | 0.001 | 10.0 | 2250 | 0.8185 | 0.87 |
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  ### Framework versions
model.safetensors CHANGED
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