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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: wav2vec2-base-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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should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-base-finetuned-gtzan
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8270
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- Accuracy: 0.83
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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: 3e-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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- gradient_accumulation_steps: 2
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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: 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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| 2.0547 | 0.99 | 56 | 2.0066 | 0.45 |
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| 1.7392 | 2.0 | 113 | 1.5974 | 0.57 |
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| 1.5689 | 2.99 | 169 | 1.4470 | 0.59 |
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| 1.2626 | 4.0 | 226 | 1.2541 | 0.66 |
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| 1.1188 | 4.99 | 282 | 1.2458 | 0.65 |
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| 0.9776 | 6.0 | 339 | 0.9830 | 0.75 |
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| 0.9396 | 6.99 | 395 | 0.8980 | 0.74 |
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| 0.8677 | 8.0 | 452 | 0.8398 | 0.8 |
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| 0.8194 | 8.99 | 508 | 0.7868 | 0.82 |
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| 0.7274 | 9.91 | 560 | 0.8270 | 0.83 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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