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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-base |
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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 Base Bn - Raiyan Ahmed |
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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: 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: 33.54106242324475 |
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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 Bn - Raiyan Ahmed |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) 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: 0.2026 |
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- Wer: 33.5411 |
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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: 3.75e-05 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 16000 |
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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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| 0.2369 | 0.6365 | 1000 | 0.2433 | 62.1881 | |
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| 0.1242 | 1.2731 | 2000 | 0.1734 | 49.4369 | |
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| 0.1022 | 1.9096 | 3000 | 0.1197 | 39.0531 | |
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| 0.046 | 2.5461 | 4000 | 0.1067 | 34.5497 | |
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| 0.0777 | 3.1827 | 5000 | 0.1440 | 43.2194 | |
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| 0.0649 | 3.8192 | 6000 | 0.1266 | 38.6232 | |
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| 0.0367 | 4.4558 | 7000 | 0.1288 | 38.0392 | |
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| 0.0126 | 5.0923 | 8000 | 0.1382 | 35.0226 | |
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| 0.0108 | 5.7288 | 9000 | 0.1416 | 34.5340 | |
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| 0.0038 | 6.3654 | 10000 | 0.1611 | 33.3921 | |
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| 0.0023 | 7.0019 | 11000 | 0.1744 | 33.4875 | |
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| 0.0133 | 7.6384 | 12000 | 0.1625 | 36.0534 | |
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| 0.0066 | 8.2750 | 13000 | 0.1801 | 35.3936 | |
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| 0.004 | 8.9115 | 14000 | 0.1781 | 34.1577 | |
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| 0.0009 | 9.5481 | 15000 | 0.1918 | 33.6939 | |
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| 0.0003 | 10.1846 | 16000 | 0.2026 | 33.5411 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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