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--- |
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library_name: transformers |
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language: |
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- ta |
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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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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper tiny ta - Sanchit Gandhi |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: ta |
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split: None |
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args: 'config: ta, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 81.81818181818183 |
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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 ta - Sanchit Gandhi |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1323 |
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- Wer: 81.8182 |
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- Cer: 25.8981 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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_steps: 100 |
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- training_steps: 1000 |
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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 | Wer | Cer | |
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|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:| |
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| 0.3684 | 1.5873 | 100 | 0.7662 | 96.3317 | 49.9906 | |
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| 0.1868 | 3.1746 | 200 | 0.8380 | 86.7624 | 29.6596 | |
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| 0.097 | 4.7619 | 300 | 0.9112 | 85.0080 | 29.5091 | |
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| 0.0481 | 6.3492 | 400 | 0.9833 | 85.4864 | 29.9041 | |
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| 0.0332 | 7.9365 | 500 | 0.9751 | 83.0941 | 30.1862 | |
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| 0.0154 | 9.5238 | 600 | 1.0561 | 85.4864 | 29.2082 | |
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| 0.0064 | 11.1111 | 700 | 1.1354 | 83.5726 | 27.3462 | |
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| 0.003 | 12.6984 | 800 | 1.1157 | 83.7321 | 27.1958 | |
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| 0.0006 | 14.2857 | 900 | 1.1344 | 82.7751 | 26.4435 | |
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| 0.0004 | 15.8730 | 1000 | 1.1323 | 81.8182 | 25.8981 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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