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--- |
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license: apache-2.0 |
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tags: |
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- audio-classification |
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- generated_from_trainer |
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datasets: |
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- common_language |
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metrics: |
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- accuracy |
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model-index: |
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- name: out |
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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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# out |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_language dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6339 |
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- Accuracy: 0.8898 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 0 |
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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: 10.0 |
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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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| 1.4103 | 1.0 | 694 | 1.1299 | 0.7471 | |
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| 0.5324 | 2.0 | 1388 | 0.6167 | 0.8495 | |
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| 0.3164 | 3.0 | 2082 | 0.5136 | 0.8679 | |
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| 0.1535 | 4.0 | 2776 | 0.5264 | 0.8758 | |
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| 0.1018 | 5.0 | 3470 | 0.5890 | 0.8767 | |
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| 0.0555 | 6.0 | 4164 | 0.6121 | 0.8772 | |
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| 0.031 | 7.0 | 4858 | 0.6624 | 0.8777 | |
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| 0.0264 | 8.0 | 5552 | 0.6172 | 0.8869 | |
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| 0.0079 | 9.0 | 6246 | 0.6225 | 0.8884 | |
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| 0.0058 | 10.0 | 6940 | 0.6339 | 0.8898 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 1.8.0+cu111 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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