End of training
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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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:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9
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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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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4981
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- Accuracy: 0.9
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## Model description
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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: 32
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- eval_batch_size: 32
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.1058 | 1.0 | 29 | 1.8465 | 0.42 |
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| 1.3479 | 2.0 | 58 | 1.1915 | 0.66 |
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| 0.7793 | 3.0 | 87 | 0.8178 | 0.81 |
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| 0.5603 | 4.0 | 116 | 0.7727 | 0.78 |
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| 0.404 | 5.0 | 145 | 0.6454 | 0.82 |
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| 0.3251 | 6.0 | 174 | 0.5526 | 0.86 |
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| 0.3089 | 7.0 | 203 | 0.5551 | 0.86 |
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| 0.1296 | 8.0 | 232 | 0.5292 | 0.86 |
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| 0.0966 | 9.0 | 261 | 0.5025 | 0.86 |
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| 0.0761 | 10.0 | 290 | 0.4981 | 0.9 |
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### Framework versions
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model.safetensors
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runs/Mar19_06-38-58_84c4be80cf5e/events.out.tfevents.1710830343.84c4be80cf5e.15593.0
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