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Anguuuuus
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shimalabaudio-20240425

Audio Classification
Transformers
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
Model card Files Community
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End of training

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  1. README.md +14 -35
  2. model.safetensors +1 -1
  3. training_args.bin +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ 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](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6985
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- - Accuracy: 0.3846
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  ## Model description
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@@ -37,49 +37,28 @@ More information needed
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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: 16
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  - eval_batch_size: 16
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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: 30
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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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- | 0.7078 | 1.0 | 4 | 0.6807 | 0.6154 |
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- | 0.6885 | 2.0 | 8 | 0.6820 | 0.6154 |
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- | 0.6901 | 3.0 | 12 | 0.6857 | 0.5385 |
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- | 0.6896 | 4.0 | 16 | 0.7010 | 0.3846 |
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- | 0.6645 | 5.0 | 20 | 0.7163 | 0.3846 |
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- | 0.6344 | 6.0 | 24 | 0.7341 | 0.3846 |
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- | 0.6471 | 7.0 | 28 | 0.7503 | 0.3846 |
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- | 0.7564 | 8.0 | 32 | 0.7601 | 0.3846 |
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- | 0.7545 | 9.0 | 36 | 0.7621 | 0.3846 |
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- | 0.645 | 10.0 | 40 | 0.7610 | 0.3846 |
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- | 0.5643 | 11.0 | 44 | 0.7682 | 0.3846 |
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- | 0.7616 | 12.0 | 48 | 0.7644 | 0.3846 |
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- | 0.6215 | 13.0 | 52 | 0.7585 | 0.3846 |
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- | 0.569 | 14.0 | 56 | 0.7550 | 0.3846 |
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- | 0.5337 | 15.0 | 60 | 0.7540 | 0.3846 |
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- | 0.6018 | 16.0 | 64 | 0.7514 | 0.3846 |
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- | 0.6369 | 17.0 | 68 | 0.7462 | 0.3846 |
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- | 0.5744 | 18.0 | 72 | 0.7455 | 0.3846 |
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- | 0.5899 | 19.0 | 76 | 0.7417 | 0.3846 |
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- | 0.5199 | 20.0 | 80 | 0.7351 | 0.3846 |
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- | 0.7777 | 21.0 | 84 | 0.7305 | 0.3846 |
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- | 0.5897 | 22.0 | 88 | 0.7264 | 0.3846 |
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- | 0.5288 | 23.0 | 92 | 0.7213 | 0.3846 |
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- | 0.5161 | 24.0 | 96 | 0.7145 | 0.3846 |
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- | 0.5386 | 25.0 | 100 | 0.7106 | 0.3846 |
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- | 0.7032 | 26.0 | 104 | 0.7064 | 0.3846 |
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- | 0.6369 | 27.0 | 108 | 0.7033 | 0.3846 |
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- | 0.5366 | 28.0 | 112 | 0.7006 | 0.3846 |
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- | 0.6468 | 29.0 | 116 | 0.6991 | 0.3846 |
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- | 0.7863 | 30.0 | 120 | 0.6985 | 0.3846 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6771
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+ - Accuracy: 0.6154
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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: 16
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  - eval_batch_size: 16
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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: 10
 
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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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+ | 0.7566 | 1.0 | 4 | 0.7434 | 0.3846 |
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+ | 0.7194 | 2.0 | 8 | 0.7631 | 0.3846 |
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+ | 0.5906 | 3.0 | 12 | 0.7569 | 0.3846 |
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+ | 0.5716 | 4.0 | 16 | 0.7512 | 0.3846 |
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+ | 0.5623 | 5.0 | 20 | 0.7445 | 0.3846 |
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+ | 0.5372 | 6.0 | 24 | 0.7418 | 0.3846 |
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+ | 0.6806 | 7.0 | 28 | 0.7226 | 0.3846 |
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+ | 0.5049 | 8.0 | 32 | 0.6937 | 0.6154 |
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+ | 0.6707 | 9.0 | 36 | 0.6861 | 0.6154 |
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+ | 0.4769 | 10.0 | 40 | 0.6771 | 0.6154 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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