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@@ -22,12 +22,15 @@ model-index:
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  name: accuracy
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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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- should probably proofread and complete it, then remove this comment. -->
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-
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  # wav2vec2-conformer-rel-pos-large-finetuned-speech-commands
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  This model is a fine-tuned version of [facebook/wav2vec2-conformer-rel-pos-large](https://huggingface.co/facebook/wav2vec2-conformer-rel-pos-large) on the speech_commands dataset.
 
 
 
 
 
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5245
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  - Accuracy: 0.9724
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  ## Training and evaluation data
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- The model has been trained for 10 epochs on the full speech_commands dataset (split v0.02).
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-
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  ## Training procedure
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  ### Training hyperparameters
 
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  name: accuracy
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  ---
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  # wav2vec2-conformer-rel-pos-large-finetuned-speech-commands
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  This model is a fine-tuned version of [facebook/wav2vec2-conformer-rel-pos-large](https://huggingface.co/facebook/wav2vec2-conformer-rel-pos-large) on the speech_commands dataset.
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+
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+ It has been trained for 10 epochs on the [speech_commands](https://huggingface.co/datasets/speech_commands) dataset:
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+ - subset v0.02
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+ - full training set
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+ - full validation set
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+
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5245
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  - Accuracy: 0.9724
 
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  ## Training and evaluation data
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  ## Training procedure
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  ### Training hyperparameters