spellingdragon
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End of training
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- marsyas/gtzan
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metrics:
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- accuracy
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model-index:
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- name: distilhubert-finetuned-gtzan
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: GTZAN
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type: marsyas/gtzan
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.65
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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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# 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
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It achieves the following results on the evaluation set:
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- Loss: 1.4484
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- Accuracy: 0.65
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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:
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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:
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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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| 2.2604 | 1.0 | 113 | 2.2157 | 0.38 |
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| 1.972 | 2.0 | 226 | 1.9740 | 0.45 |
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| 1.8073 | 3.0 | 339 | 1.7988 | 0.54 |
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| 1.6946 | 4.0 | 452 | 1.6666 | 0.64 |
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| 1.582 | 5.0 | 565 | 1.5732 | 0.61 |
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| 1.6468 | 6.0 | 678 | 1.4905 | 0.65 |
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| 1.4905 | 7.0 | 791 | 1.4661 | 0.65 |
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| 1.4801 | 8.0 | 904 | 1.4484 | 0.65 |
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### Framework versions
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- Transformers 4.35.2
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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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- marsyas/gtzan
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model-index:
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- name: distilhubert-finetuned-gtzan
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results: []
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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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# 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: 0.0001
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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: 1
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.2
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model.safetensors
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