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README.md
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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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