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update model card README.md
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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: whisper-small-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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# whisper-small-finetuned-gtzan
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4130
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- Accuracy: 0.92
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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-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 10
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- total_train_batch_size: 20
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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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| 1.3174 | 1.0 | 45 | 1.1768 | 0.61 |
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| 0.687 | 2.0 | 90 | 0.7042 | 0.8 |
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| 0.4524 | 3.0 | 135 | 0.4748 | 0.85 |
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| 0.197 | 4.0 | 180 | 0.4230 | 0.89 |
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| 0.2199 | 5.0 | 225 | 0.4980 | 0.88 |
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| 0.113 | 6.0 | 270 | 0.3381 | 0.91 |
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| 0.0054 | 7.0 | 315 | 0.3697 | 0.92 |
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| 0.004 | 8.0 | 360 | 0.2930 | 0.94 |
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| 0.0632 | 9.0 | 405 | 0.4574 | 0.92 |
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| 0.0029 | 10.0 | 450 | 0.4130 | 0.92 |
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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 2.13.1
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- Tokenizers 0.13.3
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