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@@ -5,8 +5,6 @@ license: apache-2.0
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  base_model: openai/whisper-large
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  tags:
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  - generated_from_trainer
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- datasets:
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- - common_voice_16_1
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  model-index:
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  - name: Whisper_Large_Mongolian
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  results: []
@@ -17,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper_Large_Mongolian
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- This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the common_voice_16_1 dataset.
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  It achieves the following results on the evaluation set:
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  - eval_loss: 0.3309
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  - eval_wer: 29.1925
@@ -27,17 +25,6 @@ It achieves the following results on the evaluation set:
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  - epoch: 5.64
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  - step: 3000
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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  ## Training procedure
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@@ -59,4 +46,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.39.3
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  - Pytorch 2.2.0
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  - Datasets 2.18.0
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- - Tokenizers 0.15.2
 
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  base_model: openai/whisper-large
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: Whisper_Large_Mongolian
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  results: []
 
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  # Whisper_Large_Mongolian
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+ This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large).
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  It achieves the following results on the evaluation set:
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  - eval_loss: 0.3309
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  - eval_wer: 29.1925
 
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  - epoch: 5.64
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  - step: 3000
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  ## Training procedure
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  - Transformers 4.39.3
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  - Pytorch 2.2.0
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  - Datasets 2.18.0
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+ - Tokenizers 0.15.2