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README.md
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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-id
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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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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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- eval_runtime: 1243.9655
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- eval_samples_per_second: 2.908
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- eval_steps_per_second: 0.364
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- epoch: 7.7220
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- step: 4000
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-
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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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- training_steps: 5000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.44.2
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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-medium-id
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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: Common Voice 11.0
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type: mozilla-foundation/common_voice_11_0
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config: id
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split: test
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args: 'config: id, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 13.595981208428299
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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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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: 0.2226
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- Wer: 13.5960
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-06
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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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- 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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| 0.2024 | 1.9305 | 1000 | 0.1830 | 13.1076 |
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| 0.109 | 3.8610 | 2000 | 0.1825 | 13.0750 |
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| 0.0608 | 5.7915 | 3000 | 0.1949 | 13.2797 |
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| 0.0327 | 7.7220 | 4000 | 0.2128 | 13.4750 |
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| 0.0258 | 9.6525 | 5000 | 0.2226 | 13.5960 |
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### Framework versions
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- Transformers 4.44.2
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model.safetensors
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