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JvThunder
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distilhubert-finetuned-gtzan

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End of training

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Files changed (13) hide show
  1. README.md +9 -19
  2. model.safetensors +1 -1
  3. runs/Jun21_17-13-28_c2457e59e213/events.out.tfevents.1718990010.c2457e59e213.34.0 +3 -0
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  13. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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- license: bsd-3-clause
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- base_model: MIT/ast-finetuned-audioset-10-10-0.4593
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -15,15 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilhubert-finetuned-gtzan
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- This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the GTZAN dataset.
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- It achieves the following results on the evaluation set:
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- - eval_loss: 0.8117
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- - eval_accuracy: 0.83
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- - eval_runtime: 46.4112
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- - eval_samples_per_second: 2.155
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- - eval_steps_per_second: 0.539
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- - epoch: 12.9956
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- - step: 731
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  ## Model description
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@@ -42,21 +34,19 @@ 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: 0.0001
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- - train_batch_size: 4
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- - eval_batch_size: 4
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  - seed: 42
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 16
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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: 20
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.41.2
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- - Pytorch 2.3.0+cu121
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- - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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  ---
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+ license: apache-2.0
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+ base_model: ntu-spml/distilhubert
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  # distilhubert-finetuned-gtzan
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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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  ## 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: 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: 0.1
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+ - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.2
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  - Tokenizers 0.19.1
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