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update model card README.md

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  ---
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- language:
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- - en
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  license: apache-2.0
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  tags:
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- - hf-asr-leaderboard
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  - generated_from_trainer
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- datasets:
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- - figfig/restaurant_order_local_test
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  metrics:
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  - wer
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  model-index:
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- - name: restaurant_local_test_model_with_local_dataset
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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: with_local_test_data
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- type: figfig/restaurant_order_local_test
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- config: null
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- split: test
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- args: 'config: en, split: test'
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- metrics:
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- - name: Wer
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- type: wer
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- value: 0.0
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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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- # restaurant_local_test_model_with_local_dataset
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the with_local_test_data dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5397
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  - Wer: 0.0
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  ## Model description
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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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- | No log | 10.0 | 10 | 3.7302 | 100.0 |
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- | No log | 20.0 | 20 | 0.6638 | 100.0 |
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- | 3.5812 | 30.0 | 30 | 0.5702 | 0.0 |
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- | 3.5812 | 40.0 | 40 | 0.5397 | 0.0 |
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  ### Framework versions
 
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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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  metrics:
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  - wer
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  model-index:
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+ - name: local_test_model_with_local_dataset
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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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+ # local_test_model_with_local_dataset
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5566
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  - Wer: 0.0
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  ## Model description
 
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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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+ | No log | 10.0 | 10 | 3.4660 | 85.7143 |
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+ | No log | 20.0 | 20 | 0.7373 | 10.7143 |
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+ | 3.3998 | 30.0 | 30 | 0.5920 | 0.0 |
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+ | 3.3998 | 40.0 | 40 | 0.5566 | 0.0 |
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  ### Framework versions