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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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- 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: openai/whisper-large-v2 |
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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_11_0 vi |
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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: 15.7710 |
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- name: Cer |
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type: cer |
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value: 7.6691 |
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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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# openai/whisper-large-v2 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) 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: 15.7710 |
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- Cer: 7.6691 |
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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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Training data: |
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* [mozilla-foundation/common_voice_11_0](https://huggingface.co/openai/whisper-large-v2) |
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* [google/fleurs](https://huggingface.co/datasets/google/fleurs) |
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Evaluation data: |
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* [mozilla-foundation/common_voice_11_0](https://huggingface.co/openai/whisper-large-v2) |
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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-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 3 |
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- total_train_batch_size: 24 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 0.3983 | 0.1 | 500 | 0.5338 | 19.5876 | 10.6391 | |
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| 0.2277 | 1.08 | 1000 | 0.4134 | 16.5826 | 8.2668 | |
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| 0.172 | 2.05 | 1500 | 0.3968 | 16.3084 | 7.9787 | |
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| 0.1823 | 3.03 | 2000 | 0.3956 | 16.1768 | 7.8159 | |
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| 0.1445 | 4.0 | 2500 | 0.3955 | 16.0342 | 7.7438 | |
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| 0.147 | 4.1 | 3000 | 0.3965 | 15.8807 | 7.7145 | |
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| 0.1292 | 5.08 | 3500 | 0.4000 | 15.8587 | 7.7065 | |
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| 0.1187 | 6.05 | 4000 | 0.4029 | 15.7491 | 7.6398 | |
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| 0.1368 | 7.03 | 4500 | 0.4041 | 15.7600 | 7.6558 | |
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| 0.1231 | 8.0 | 5000 | 0.4041 | 15.7710 | 7.6691 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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