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--- |
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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: whisper-large-v2-zh-hk-2gpu |
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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 zh-HK |
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type: mozilla-foundation/common_voice_11_0 |
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config: None |
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split: None |
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args: zh-HK |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.45734639358860196 |
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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-large-v2-zh-hk-2gpu |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 zh-HK dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2237 |
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- Wer: 0.4573 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 16 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.1544 | 1.14 | 1000 | 0.2260 | 0.5485 | |
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| 0.0745 | 2.28 | 2000 | 0.2132 | 0.4967 | |
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| 0.0213 | 3.42 | 3000 | 0.2114 | 0.4718 | |
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| 0.0117 | 4.57 | 4000 | 0.2196 | 0.4643 | |
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| 0.0014 | 5.71 | 5000 | 0.2237 | 0.4573 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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