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Update README.md

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@@ -3,11 +3,15 @@ license: apache-2.0
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  base_model: openai/whisper-tiny
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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-tiny-fa
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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
@@ -15,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # whisper-tiny-fa
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- This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9080
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  - Wer: 137.7028
@@ -65,4 +69,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.37.0.dev0
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.0
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- - Tokenizers 0.15.0
 
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  base_model: openai/whisper-tiny
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  tags:
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  - generated_from_trainer
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+ - fa-asr-leaderboard
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  metrics:
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  - wer
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  model-index:
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  - name: whisper-tiny-fa
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  results: []
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+ language:
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+ - fa
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+ pipeline_tag: automatic-speech-recognition
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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-tiny-fa
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_3_0 fa dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9080
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  - Wer: 137.7028
 
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  - Transformers 4.37.0.dev0
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.0
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+ - Tokenizers 0.15.0