End of training
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README.md
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metrics:
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- wer
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model-index:
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- name: Whisper Small fa
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results:
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- task:
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name: Automatic Speech Recognition
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metrics:
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- name: Wer
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type: wer
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value:
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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 Small fa
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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.
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- Wer:
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## Model description
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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:
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.9736 | 0.09 | 200 | 1.1516 | 69.9194 |
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| 0.3892 | 0.17 | 400 | 0.6260 | 61.1574 |
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### Framework versions
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metrics:
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- wer
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model-index:
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+
- name: Whisper Small fa
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results:
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- task:
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name: Automatic Speech Recognition
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metrics:
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- name: Wer
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type: wer
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value: 59.0415273403355
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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 Small fa
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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: 0.5556
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+
- Wer: 59.0415
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## Model description
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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: 600
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- training_steps: 600
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- mixed_precision_training: Native AMP
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### Training results
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.9736 | 0.09 | 200 | 1.1516 | 69.9194 |
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| 0.3892 | 0.17 | 400 | 0.6260 | 61.1574 |
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| 0.3177 | 0.26 | 600 | 0.5556 | 59.0415 |
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### Framework versions
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