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update model card README.md

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  ---
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  language:
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- - hi
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  license: apache-2.0
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  tags:
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  - hf-asr-leaderboard
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  - generated_from_trainer
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  datasets:
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  - mozilla-foundation/common_voice_11_0
 
 
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  model-index:
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  - name: Whisper Small Hi - 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
@@ -18,6 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Small Hi - Swedish
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
 
 
 
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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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: 500
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- - training_steps: 4000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.26.0.dev0
 
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  ---
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  language:
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+ - sv-SE
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  license: apache-2.0
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  tags:
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  - hf-asr-leaderboard
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  - generated_from_trainer
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  datasets:
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  - mozilla-foundation/common_voice_11_0
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+ metrics:
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+ - wer
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  model-index:
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  - name: Whisper Small Hi - Swedish
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+ results:
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+ - task:
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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: Common Voice 11.0
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+ type: mozilla-foundation/common_voice_11_0
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+ config: null
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+ split: None
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+ args: 'config: sv-SE, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 51.31886746793579
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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 Small Hi - Swedish
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0765
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+ - Wer: 51.3189
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0005
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - training_steps: 5000
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 1.5005 | 1.29 | 1000 | 1.7517 | 84.8861 |
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+ | 0.8752 | 2.59 | 2000 | 1.2958 | 68.8688 |
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+ | 0.4382 | 3.88 | 3000 | 1.1835 | 60.4152 |
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+ | 0.0694 | 5.17 | 4000 | 1.1659 | 55.8442 |
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+ | 0.0091 | 6.47 | 5000 | 1.0765 | 51.3189 |
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+
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+
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  ### Framework versions
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  - Transformers 4.26.0.dev0