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  ---
 
 
 
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  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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- - common_voice
 
 
 
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  model-index:
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- - name: wav2vec2-large-xls-r-300m-Swedish
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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
@@ -20,19 +65,6 @@ It achieves the following results on the evaluation set:
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  - Wer: 0.2729
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  - Cer: 0.0858
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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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-
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- ## Training procedure
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  ### Training hyperparameters
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  ---
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+ language:
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+ - sv-SE
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+
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  license: apache-2.0
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  tags:
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+ - automatic-speech-recognition
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+ - robust-speech-event
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  datasets:
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+ - mozilla-foundation/common_voice_8_0
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+ metrics:
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+ - wer
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+ - cer
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  model-index:
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+ - name: wav2vec2-xls-r-300m-swedish
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+ results:
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+ - task:
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+ type: automatic-speech-recognition # Required. Example: automatic-speech-recognition
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+ name: Speech Recognition # Optional. Example: Speech Recognition
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+ dataset:
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+ type: mozilla-foundation/common_voice_8_0 # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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+ name: common-voice # Required. Example: Common Voice zh-CN
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+ args: sv-SE # Optional. Example: zh-CN
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+ metrics:
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+ - type: wer # Required. Example: wer
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+ value: 38.57 # Required. Example: 20.90
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+ name: Test WER # Optional. Example: Test WER
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+ args:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 64
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 30
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+ - mixed_precision_training: Native AMP # Optional. Example for BLEU: max_order
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+ - type: cer # Required. Example: wer
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+ value: 10.98 # Required. Example: 20.90
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+ name: Test CER # Optional. Example: Test WER
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+ args:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 64
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 30
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+ - mixed_precision_training: Native AMP # Optional. Example for BLEU: max_order
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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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  - Wer: 0.2729
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  - Cer: 0.0858
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  ### Training hyperparameters
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