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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: arun100/whisper-base-bn-3 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base Bengali |
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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: mozilla-foundation/common_voice_16_0 bn |
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type: mozilla-foundation/common_voice_16_0 |
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config: bn |
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split: test |
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args: bn |
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metrics: |
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- name: Wer |
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type: wer |
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value: 28.818465723515253 |
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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 Base Bengali |
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This model is a fine-tuned version of [arun100/whisper-base-bn-3](https://huggingface.co/arun100/whisper-base-bn-3) on the mozilla-foundation/common_voice_16_0 bn dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2078 |
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- Wer: 28.8185 |
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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-07 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 500 |
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- training_steps: 5500 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.1568 | 1.72 | 500 | 0.2145 | 29.8350 | |
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| 0.1507 | 3.43 | 1000 | 0.2132 | 29.5594 | |
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| 0.1466 | 5.15 | 1500 | 0.2119 | 29.3576 | |
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| 0.1463 | 6.86 | 2000 | 0.2106 | 29.2927 | |
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| 0.1426 | 8.58 | 2500 | 0.2098 | 29.2220 | |
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| 0.139 | 10.29 | 3000 | 0.2093 | 29.1075 | |
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| 0.1373 | 12.01 | 3500 | 0.2087 | 29.0878 | |
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| 0.1362 | 13.72 | 4000 | 0.2084 | 28.9769 | |
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| 0.1333 | 15.44 | 4500 | 0.2081 | 28.9129 | |
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| 0.1332 | 17.15 | 5000 | 0.2079 | 28.8945 | |
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| 0.1363 | 18.87 | 5500 | 0.2078 | 28.8185 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.0 |
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