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End of training

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README.md CHANGED
@@ -4,11 +4,23 @@ license: apache-2.0
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  base_model: openai/whisper-large-v3
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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: whisper-large-v3-nyagen-balanced-model
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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
@@ -16,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # whisper-large-v3-nyagen-balanced-model
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- This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3676
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- - Wer: 0.2084
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  ## Model description
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  base_model: openai/whisper-large-v3
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - nyagen
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  metrics:
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  - wer
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  model-index:
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  - name: whisper-large-v3-nyagen-balanced-model
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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: nyagen
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+ type: nyagen
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.24026512013256007
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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-large-v3-nyagen-balanced-model
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+ This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the nyagen dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3155
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+ - Wer: 0.2403
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  ## Model description
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