DrishtiSharma
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Update README.md
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README.md
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- name: Test CER
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type: cer
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value: 0.10205125354383235
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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: 0.5197
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- Wer: 0.4689
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More information needed
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## Intended uses & limitations
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### Training hyperparameters
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- name: Test CER
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type: cer
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value: 0.10205125354383235
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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: bg
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metrics:
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- name: Test WER
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type: wer
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value: 0.4709579127785184
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- name: Test CER
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type: cer
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value: 0.10205125354383235
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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: bg
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metrics:
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- name: Test WER
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type: wer
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value: 0.7053128872366791
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- name: Test CER
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type: cer
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value: 0.210804311998487
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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: 0.5197
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- Wer: 0.4689
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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-bg-v1 --dataset mozilla-foundation/common_voice_8_0 --config bg --split test --log_outputs
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2. To evaluate on speech-recognition-community-v2/dev_data
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python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-bg-v1 --dataset speech-recognition-community-v2/dev_data --config bg --split validation --chunk_length_s 10 --stride_length_s 1
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### Training hyperparameters
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