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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-hi-1 |
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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: 36.204844612672595 |
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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-hi-1](https://huggingface.co/arun100/whisper-base-hi-1) 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: 0.2754 |
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- Wer: 36.2048 |
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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: 5000 |
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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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| 0.693 | 1.04 | 500 | 0.6937 | 69.6782 | |
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| 0.3979 | 3.03 | 1000 | 0.4168 | 48.0703 | |
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| 0.3429 | 5.01 | 1500 | 0.3527 | 42.8105 | |
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| 0.2907 | 6.05 | 2000 | 0.3225 | 40.4267 | |
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| 0.2761 | 8.03 | 2500 | 0.3039 | 38.8974 | |
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| 0.2637 | 10.02 | 3000 | 0.2921 | 37.7927 | |
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| 0.2507 | 12.0 | 3500 | 0.2846 | 37.0733 | |
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| 0.2397 | 13.04 | 4000 | 0.2793 | 36.6004 | |
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| 0.243 | 15.03 | 4500 | 0.2763 | 36.3503 | |
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| 0.2501 | 17.01 | 5000 | 0.2754 | 36.2048 | |
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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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