End of training
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- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: neopolita/distilhubert-finetuned-gtzan
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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-v2
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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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config: all
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split: train
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args: all
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.88
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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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should probably proofread and complete it, then remove this comment. -->
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# distilhubert-finetuned-gtzan-v2
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This model is a fine-tuned version of [neopolita/distilhubert-finetuned-gtzan](https://huggingface.co/neopolita/distilhubert-finetuned-gtzan) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6048
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- Accuracy: 0.88
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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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: 5
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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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| 0.104 | 1.0 | 113 | 0.5612 | 0.84 |
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| 0.0867 | 2.0 | 226 | 0.5634 | 0.85 |
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| 0.0672 | 3.0 | 339 | 0.6113 | 0.86 |
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| 0.0764 | 4.0 | 452 | 0.5917 | 0.88 |
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| 0.0819 | 5.0 | 565 | 0.6048 | 0.88 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 94771728
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version https://git-lfs.github.com/spec/v1
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size 94771728
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