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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 |
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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: 29.92358146984869 |
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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](https://huggingface.co/arun100/whisper-base-bn) 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: 0.2151 |
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- Wer: 29.9236 |
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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-06 |
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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: 8500 |
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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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| 0.2476 | 1.72 | 500 | 0.2751 | 36.1695 | |
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| 0.2284 | 3.43 | 1000 | 0.2622 | 35.1668 | |
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| 0.213 | 5.15 | 1500 | 0.2524 | 34.2022 | |
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| 0.2048 | 6.86 | 2000 | 0.2447 | 33.5266 | |
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| 0.1948 | 8.58 | 2500 | 0.2382 | 32.7495 | |
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| 0.1852 | 10.29 | 3000 | 0.2334 | 32.2322 | |
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| 0.1789 | 12.01 | 3500 | 0.2295 | 31.7244 | |
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| 0.1738 | 13.72 | 4000 | 0.2260 | 31.2341 | |
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| 0.166 | 15.44 | 4500 | 0.2236 | 30.9562 | |
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| 0.1629 | 17.15 | 5000 | 0.2214 | 30.8171 | |
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| 0.1636 | 18.87 | 5500 | 0.2194 | 30.4368 | |
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| 0.1578 | 20.58 | 6000 | 0.2181 | 30.2520 | |
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| 0.1628 | 22.3 | 6500 | 0.2170 | 30.1858 | |
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| 0.1566 | 24.01 | 7000 | 0.2161 | 30.0694 | |
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| 0.1564 | 25.73 | 7500 | 0.2156 | 29.9943 | |
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| 0.1545 | 27.44 | 8000 | 0.2153 | 29.9294 | |
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| 0.1548 | 29.16 | 8500 | 0.2151 | 29.9236 | |
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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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