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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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- google/fleurs |
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- vivos |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium VI - Multi - Augmented |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: mozilla-foundation/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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metrics: |
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- type: wer |
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value: 16.63 |
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name: WER |
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- type: cer |
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value: 7.74 |
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name: CER |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: google/fleurs |
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type: google/fleurs |
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config: vi_vn |
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split: test |
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metrics: |
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- type: wer |
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value: 9.04 |
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name: WER |
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- type: cer |
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value: 4.81 |
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name: CER |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: vivos |
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type: vivos |
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split: test |
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metrics: |
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- type: wer |
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value: 8.53 |
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name: WER |
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- type: cer |
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value: 3.67 |
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name: CER |
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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 - Multi - Augmented |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the following datasets: |
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- [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) |
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- [google/fleurs](https://huggingface.co/datasets/google/fleurs) |
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- [vivos](https://huggingface.co/datasets/vivos) |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3696 |
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- Wer: 16.6594 |
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- Cer: 7.7625 |
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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: |
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- [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) (train+validation) |
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- [google/fleurs](https://huggingface.co/datasets/google/fleurs) (train+validation) |
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- [vivos](https://huggingface.co/datasets/vivos) (train) |
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Evaluation: |
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- [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) (test) |
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- [google/fleurs](https://huggingface.co/datasets/google/fleurs) (test) |
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- [vivos](https://huggingface.co/datasets/vivos) (test) |
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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: 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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| 0.1992 | 1.8 | 1000 | 0.2726 | 17.4929 | 8.2562 | |
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| 0.0402 | 3.6 | 2000 | 0.3317 | 17.4929 | 8.2588 | |
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| 0.0073 | 5.4 | 3000 | 0.3429 | 17.6793 | 8.8913 | |
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| 0.0014 | 7.19 | 4000 | 0.3599 | 19.0283 | 9.5103 | |
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| 0.0006 | 8.99 | 5000 | 0.3696 | 16.6594 | 7.7625 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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