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--- |
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language: |
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- vi |
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license: apache-2.0 |
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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_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium Vi v1 - Shiv Kumar Ganesh |
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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: vi |
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split: test |
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args: vi |
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metrics: |
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- name: Wer |
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type: wer |
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value: 34.09738977846019 |
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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 Medium Vi v1 - Shiv Kumar Ganesh |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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: 1.0641 |
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- Wer: 34.0974 |
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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: 32 |
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- eval_batch_size: 16 |
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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: 7000 |
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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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| 0.0005 | 31.0 | 500 | 0.7179 | 33.7464 | |
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| 0.0002 | 62.0 | 1000 | 0.7837 | 32.4742 | |
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| 0.0001 | 93.0 | 1500 | 0.8267 | 34.2729 | |
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| 0.0001 | 124.0 | 2000 | 0.8677 | 35.1722 | |
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| 0.0 | 156.0 | 2500 | 0.9045 | 35.3257 | |
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| 0.0 | 187.0 | 3000 | 0.9316 | 33.9877 | |
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| 0.0 | 218.0 | 3500 | 0.9585 | 34.0097 | |
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| 0.0 | 249.0 | 4000 | 0.9846 | 33.3626 | |
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| 0.0 | 281.0 | 4500 | 1.0082 | 33.4832 | |
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| 0.0 | 312.0 | 5000 | 1.0247 | 33.7026 | |
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| 0.0 | 343.0 | 5500 | 1.0391 | 32.8691 | |
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| 0.0 | 374.0 | 6000 | 1.0516 | 32.9020 | |
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| 0.0 | 406.0 | 6500 | 1.0606 | 33.6477 | |
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| 0.0 | 437.0 | 7000 | 1.0641 | 34.0974 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.1.dev0 |
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- Tokenizers 0.13.2 |
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