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--- |
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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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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-tiny-bn |
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results: [] |
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language: |
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- bn |
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pipeline_tag: automatic-speech-recognition |
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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-bn |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4041 |
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- Wer: 100.9994 |
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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-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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- training_steps: 4000 |
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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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| 1.5443 | 4.67 | 500 | 1.0344 | 180.0125 | |
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| 0.3201 | 9.35 | 1000 | 0.2322 | 121.4866 | |
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| 0.0545 | 14.02 | 1500 | 0.2617 | 128.8570 | |
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| 0.0116 | 18.69 | 2000 | 0.3251 | 95.9400 | |
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| 0.0031 | 23.36 | 2500 | 0.3768 | 101.7489 | |
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| 0.0007 | 28.04 | 3000 | 0.3905 | 98.5634 | |
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| 0.0004 | 32.71 | 3500 | 0.4006 | 101.1868 | |
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| 0.0003 | 37.38 | 4000 | 0.4041 | 100.9994 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
