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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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- common_voice_11_0 |
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model-index: |
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- name: openai/whisper-medium |
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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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# openai/whisper-medium |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) 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: 0.3226 |
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- Cer: 10.9782 |
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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: 16 |
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- eval_batch_size: 8 |
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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: 10000 |
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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 | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 0.3998 | 0.1 | 1000 | 0.2898 | 19.1261 | |
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| 0.2414 | 1.07 | 2000 | 0.2826 | 12.7761 | |
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| 0.1197 | 2.04 | 3000 | 0.2952 | 12.4320 | |
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| 0.2034 | 3.0 | 4000 | 0.2962 | 13.1970 | |
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| 0.0344 | 3.1 | 5000 | 0.3039 | 11.5122 | |
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| 0.0226 | 4.07 | 6000 | 0.3083 | 11.3549 | |
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| 0.0097 | 5.04 | 7000 | 0.3187 | 11.4440 | |
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| 0.0121 | 6.01 | 8000 | 0.3173 | 11.2258 | |
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| 0.0015 | 6.11 | 9000 | 0.3219 | 11.1410 | |
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| 0.0019 | 7.07 | 10000 | 0.3226 | 10.9782 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.1.dev0 |
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- Tokenizers 0.13.2 |
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