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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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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_16_1 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny Bengali - 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 16.1 |
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type: mozilla-foundation/common_voice_16_1 |
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config: bn |
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split: None |
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args: 'config: it, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 49.35147928994083 |
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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 Bengali - Raiyan Ahmed |
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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 16.1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1982 |
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- Wer: 49.3515 |
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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-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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- 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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- num_epochs: 5 |
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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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| 0.5615 | 0.3021 | 200 | 0.5681 | 92.0473 | |
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| 0.4104 | 0.6042 | 400 | 0.4525 | 83.0059 | |
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| 0.336 | 0.9063 | 600 | 0.3315 | 74.3195 | |
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| 0.257 | 1.2085 | 800 | 0.3217 | 75.2095 | |
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| 0.2262 | 1.5106 | 1000 | 0.2550 | 65.7941 | |
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| 0.1906 | 1.8127 | 1200 | 0.2147 | 59.0769 | |
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| 0.1924 | 2.1148 | 1400 | 0.2816 | 67.6071 | |
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| 0.1886 | 2.4169 | 1600 | 0.2658 | 68.2982 | |
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| 0.175 | 2.7190 | 1800 | 0.2401 | 65.5598 | |
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| 0.1268 | 3.0211 | 2000 | 0.2279 | 57.7160 | |
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| 0.1206 | 3.3233 | 2200 | 0.2190 | 58.5680 | |
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| 0.1085 | 3.6254 | 2400 | 0.2048 | 54.5160 | |
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| 0.1049 | 3.9275 | 2600 | 0.1929 | 53.0769 | |
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| 0.047 | 4.2296 | 2800 | 0.2100 | 52.4805 | |
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| 0.0452 | 4.5317 | 3000 | 0.2054 | 50.8852 | |
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| 0.0411 | 4.8338 | 3200 | 0.1982 | 49.3515 | |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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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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