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End of training

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  1. README.md +9 -6
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  ---
 
 
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
 
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  - generated_from_trainer
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  datasets:
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- - audiofolder
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  metrics:
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  - wer
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  model-index:
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- - name: whisper-small-ft-client
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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: audiofolder
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- type: audiofolder
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  config: default
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  split: None
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  args: default
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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-ft-client
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.5990
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  - Wer: 84.1146
 
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  ---
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+ language:
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+ - ar
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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+ - ar-asr-leaderboard
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  - generated_from_trainer
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  datasets:
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+ - AXAI/client
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper small Ar - AxAI
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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: Client
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+ type: AXAI/client
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  config: default
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  split: None
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  args: default
 
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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 Ar - AxAI
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Client dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.5990
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  - Wer: 84.1146