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--- |
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language: |
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- yue |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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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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model-index: |
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- name: Whisper medium 12 |
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results: [] |
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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 12 |
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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 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8225 |
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- Cer: 29.3991 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 100 |
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- training_steps: 12000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 0.0214 | 12.05 | 2000 | 0.7735 | 57.5787 | |
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| 0.0107 | 24.1 | 4000 | 0.8499 | 41.2738 | |
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| 0.0013 | 36.14 | 6000 | 0.8238 | 31.5901 | |
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| 0.0023 | 48.19 | 8000 | 0.8371 | 30.6105 | |
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| 0.0 | 60.24 | 10000 | 0.8209 | 29.4550 | |
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| 0.0 | 72.29 | 12000 | 0.8225 | 29.3991 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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