End of training
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- generation_config.json +10 -26
README.md
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language:
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- nl
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license: apache-2.0
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base_model: openai/whisper-
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tags:
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- nl-asr-leaderboard
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: Whisper
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results:
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- task:
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name: Automatic Speech Recognition
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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: nl
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split:
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args: 'config: nl, split: test'
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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
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This model is a fine-tuned version of [openai/whisper-
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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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- 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:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step
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### Framework versions
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language:
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- nl
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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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- nl-asr-leaderboard
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: Whisper Medium NL - Noise
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results:
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- task:
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name: Automatic Speech Recognition
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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: nl
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split: test[:250]
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args: 'config: nl, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 22.04155374887082
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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 NL - Noise
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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: 0.3982
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- Wer: 22.0416
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## Model description
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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 | Wer |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 0.1974 | 0.97 | 5000 | 0.4473 | 25.7904 |
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| 0.0668 | 1.95 | 10000 | 0.3982 | 22.0416 |
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### Framework versions
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generation_config.json
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"begin_suppress_tokens": [
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