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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- audiofolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: whisper-tiny-tamil |
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results: |
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- task: |
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name: Audio Classification |
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type: audio-classification |
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dataset: |
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name: Speech Commands |
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type: audiofolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7142857142857143 |
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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-tiny-tamil |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Speech Commands dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6296 |
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- Accuracy: 0.7143 |
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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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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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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| 0.9817 | 1.0 | 55 | 1.0006 | 0.5714 | |
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| 0.894 | 2.0 | 110 | 0.8903 | 0.5714 | |
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| 0.7656 | 3.0 | 165 | 0.8475 | 0.7143 | |
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| 0.5697 | 4.0 | 220 | 0.7843 | 0.6429 | |
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| 0.8338 | 5.0 | 275 | 0.7055 | 0.6429 | |
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| 0.6986 | 6.0 | 330 | 0.7369 | 0.7143 | |
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| 0.5099 | 7.0 | 385 | 0.6787 | 0.7143 | |
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| 0.5774 | 8.0 | 440 | 0.6369 | 0.7143 | |
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| 0.7313 | 9.0 | 495 | 0.6106 | 0.7857 | |
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| 0.5775 | 10.0 | 550 | 0.6296 | 0.7143 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.2.2 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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