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README.md
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@@ -6,7 +6,8 @@ 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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- fleurs
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metrics:
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- wer
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model-index:
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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
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type:
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config: hu_hu
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split: train
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args: hu_hu
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- name: Wer
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type: wer
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value: 25.98178929048856
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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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@@ -105,4 +107,4 @@ The following hyperparameters were used during training:
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- Transformers 4.44.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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tags:
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- generated_from_trainer
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datasets:
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- google/fleurs
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- fsicoli/common_voice_18_0
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metrics:
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- wer
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model-index:
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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/flerus
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type: f
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config: hu_hu
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split: train
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args: hu_hu
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- name: Wer
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type: wer
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value: 25.98178929048856
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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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- Transformers 4.44.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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