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Update README.md

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@@ -3,10 +3,16 @@ license: apache-2.0
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  tags:
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  - generated_from_trainer
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  datasets:
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- - timit
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  model-index:
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  - name: wav2vec2-xls-r-1b_phoneme-timit_english_timit-4k_001
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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
@@ -17,7 +23,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the timit dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4353
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- - Per: 0.1499
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  ## Model description
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@@ -67,4 +73,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.28.1
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  - Pytorch 2.0.1
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  - Datasets 2.18.0
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- - Tokenizers 0.13.3
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - timit_asr
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  model-index:
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  - name: wav2vec2-xls-r-1b_phoneme-timit_english_timit-4k_001
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  results: []
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+ language:
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+ - en
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+ metrics:
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+ - wer
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+ library_name: transformers
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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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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the timit dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4353
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+ - Per: 0.1233
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  ## Model description
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  - Transformers 4.28.1
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  - Pytorch 2.0.1
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  - Datasets 2.18.0
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+ - Tokenizers 0.13.3