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update model card README.md

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@@ -7,24 +7,9 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - google/fleurs
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- metrics:
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- - wer
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  model-index:
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  - name: Whisper Medium El - Greek One
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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: Google FLEURS
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- type: google/fleurs
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- config: el_gr
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- split: test
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- args: el_gr
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- metrics:
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- - name: Wer
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- type: wer
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- value: 15.584586962259174
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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
@@ -33,9 +18,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Medium El - Greek One
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  This model is a fine-tuned version of [openai/medium-medium](https://huggingface.co/openai/medium-medium) on the Google FLEURS dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.2864
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- - Wer: 15.5846
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  ## Model description
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  - training_steps: 2000
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  - mixed_precision_training: Native AMP
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.0006 | 12.02 | 1000 | 0.2718 | 15.4394 |
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- | 0.0003 | 24.04 | 2000 | 0.2864 | 15.5846 |
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-
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-
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  ### Framework versions
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  - Transformers 4.26.0.dev0
 
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  - generated_from_trainer
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  datasets:
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  - google/fleurs
 
 
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  model-index:
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  - name: Whisper Medium El - Greek One
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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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  # Whisper Medium El - Greek One
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  This model is a fine-tuned version of [openai/medium-medium](https://huggingface.co/openai/medium-medium) on the Google FLEURS dataset.
 
 
 
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  ## Model description
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  - training_steps: 2000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.26.0.dev0