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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: whisper-small-ft-common-language-id |
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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-ft-common-language-id |
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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: 0.6409 |
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- Accuracy: 0.8860 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 0 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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- 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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| 1.1767 | 1.0 | 694 | 1.1063 | 0.7514 | |
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| 0.582 | 2.0 | 1388 | 0.6595 | 0.8327 | |
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| 0.3172 | 3.0 | 2082 | 0.5887 | 0.8529 | |
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| 0.196 | 4.0 | 2776 | 0.5332 | 0.8701 | |
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| 0.0858 | 5.0 | 3470 | 0.5705 | 0.8733 | |
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| 0.0477 | 6.0 | 4164 | 0.6311 | 0.8779 | |
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| 0.0353 | 7.0 | 4858 | 0.6011 | 0.8825 | |
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| 0.0033 | 8.0 | 5552 | 0.6186 | 0.8843 | |
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| 0.0071 | 9.0 | 6246 | 0.6409 | 0.8860 | |
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| 0.0074 | 10.0 | 6940 | 0.6334 | 0.8860 | |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- Pytorch 1.13.1 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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