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Update README.md
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README.md
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- automatic-speech-recognition
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- mozilla-foundation/common_voice_8_0
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- generated_from_trainer
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datasets:
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model-index:
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- name:
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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
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@@ -23,19 +68,17 @@ It achieves the following results on the evaluation set:
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- Loss: 1.0855
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- Wer: 0.4755
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## Model description
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## Training procedure
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### Training hyperparameters
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- automatic-speech-recognition
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- mozilla-foundation/common_voice_8_0
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- generated_from_trainer
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- pa-IN
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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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model-index:
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- name: wav2vec2-large-xls-r-300m-pa-IN-dx1
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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 8
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type: mozilla-foundation/common_voice_8_0
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args: pa-IN
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metrics:
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- name: Test WER
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type: wer
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value:
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- name: Test CER
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type: cer
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value:
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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: Robust Speech Event - Dev Data
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type: speech-recognition-community-v2/dev_data
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args: pa-IN
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metrics:
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- name: Test WER
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type: wer
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value: 0.48725989807918463
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- name: Test CER
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type: cer
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value: 0.1687305197540224
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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: Robust Speech Event - Dev Data
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type: speech-recognition-community-v2/dev_data
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args: pa-IN
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metrics:
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- name: Test WER
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type: wer
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value: NA
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- name: Test CER
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type: cer
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value: NA
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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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- Loss: 1.0855
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- Wer: 0.4755
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### Evaluation Commands
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1. To evaluate on mozilla-foundation/common_voice_8_0 with test split
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python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-pa-IN-dx1 --dataset mozilla-foundation/common_voice_8_0 --config pa-IN --split test --log_outputs
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2. To evaluate on speech-recognition-community-v2/dev_data
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Punjabi language isn't available in speech-recognition-community-v2/dev_data
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### Training hyperparameters
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