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--- |
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language: |
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- bn |
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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_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper tiny bn - Raiyan |
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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_13.0 |
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type: mozilla-foundation/common_voice_13_0 |
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config: bn |
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split: None |
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args: 'config: bn, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 44.349095570431565 |
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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 bn - Raiyan |
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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_13.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1734 |
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- Wer: 44.3491 |
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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: 6e-05 |
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- train_batch_size: 24 |
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- eval_batch_size: 12 |
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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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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 3000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 0.261 | 1.0661 | 500 | 0.2417 | 63.3469 | |
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| 0.1926 | 2.1322 | 1000 | 0.1941 | 54.3987 | |
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| 0.1367 | 3.1983 | 1500 | 0.1729 | 49.3116 | |
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| 0.0994 | 4.2644 | 2000 | 0.1622 | 46.2280 | |
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| 0.0564 | 5.3305 | 2500 | 0.1669 | 45.0802 | |
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| 0.0394 | 6.3966 | 3000 | 0.1734 | 44.3491 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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