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arijitx
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wav2vec2-xls-r-300m-bengali

Automatic Speech Recognition
Transformers
PyTorch
Bengali
wav2vec2
hf-asr-leaderboard
openslr_SLR53
robust-speech-event
Eval Results
Model card Files
xet
Community
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arijitx commited on
Commit
824f724
·
1 Parent(s): e35c09b

add eval

Browse files
Files changed (12) hide show
  1. .ipynb_checkpoints/README-checkpoint.md +29 -0
  2. .ipynb_checkpoints/eval_run-checkpoint.sh +1 -0
  3. eval_run.sh +1 -0
  4. evaluation_no_lm/log_openslr_SLR53_train[95%:]_predictions.txt +0 -0
  5. log_openslr_SLR53_train[95%:]_targets.txt → evaluation_no_lm/log_openslr_SLR53_train[95%:]_targets.txt +0 -0
  6. evaluation_no_lm/openslr_SLR53_train[95%:]_eval_results.txt +2 -0
  7. {.ipynb_checkpoints → evaluation_with_lm/.ipynb_checkpoints}/log_openslr_SLR53_train[95%:]_predictions-checkpoint.txt +0 -0
  8. {.ipynb_checkpoints → evaluation_with_lm/.ipynb_checkpoints}/log_openslr_SLR53_train[95%:]_targets-checkpoint.txt +0 -0
  9. {.ipynb_checkpoints → evaluation_with_lm/.ipynb_checkpoints}/openslr_SLR53_train[95%:]_eval_results-checkpoint.txt +0 -0
  10. log_openslr_SLR53_train[95%:]_predictions.txt → evaluation_with_lm/log_openslr_SLR53_train[95%:]_predictions.txt +0 -0
  11. evaluation_with_lm/log_openslr_SLR53_train[95%:]_targets.txt +0 -0
  12. openslr_SLR53_train[95%:]_eval_results.txt → evaluation_with_lm/openslr_SLR53_train[95%:]_eval_results.txt +0 -0
.ipynb_checkpoints/README-checkpoint.md ADDED
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+ ---
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+ language: Bengali
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+ datasets:
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+ - OpenSLR
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+ metrics:
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+ - wer
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+ tags:
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+ - bn
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+ - audio
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+ - automatic-speech-recognition
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+ - speech
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+ - robust-speech-event
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+ license: cc-by-sa-4.0
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+ model-index:
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+ - name: XLSR Wav2Vec2 Bengali by Arijit
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+ results:
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+ - task:
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+ name: Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: OpenSLR
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+ type: OpenSLR
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+ args: ben
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 32.45
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+ ---
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+ # wav2vec2-xls-r-300m-bangla
.ipynb_checkpoints/eval_run-checkpoint.sh ADDED
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+ ./eval.py --model_id ./ --dataset openslr --config SLR53 --split "train[95%:]" --log_outputs
eval_run.sh ADDED
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+ ./eval.py --model_id ./ --dataset openslr --config SLR53 --split "train[95%:]" --log_outputs
evaluation_no_lm/log_openslr_SLR53_train[95%:]_predictions.txt ADDED
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log_openslr_SLR53_train[95%:]_targets.txt → evaluation_no_lm/log_openslr_SLR53_train[95%:]_targets.txt RENAMED
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evaluation_no_lm/openslr_SLR53_train[95%:]_eval_results.txt ADDED
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+ WER: 0.21726385291857586
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+ CER: 0.04725010353701041
{.ipynb_checkpoints → evaluation_with_lm/.ipynb_checkpoints}/log_openslr_SLR53_train[95%:]_predictions-checkpoint.txt RENAMED
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{.ipynb_checkpoints → evaluation_with_lm/.ipynb_checkpoints}/log_openslr_SLR53_train[95%:]_targets-checkpoint.txt RENAMED
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{.ipynb_checkpoints → evaluation_with_lm/.ipynb_checkpoints}/openslr_SLR53_train[95%:]_eval_results-checkpoint.txt RENAMED
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log_openslr_SLR53_train[95%:]_predictions.txt → evaluation_with_lm/log_openslr_SLR53_train[95%:]_predictions.txt RENAMED
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evaluation_with_lm/log_openslr_SLR53_train[95%:]_targets.txt ADDED
The diff for this file is too large to render. See raw diff
 
openslr_SLR53_train[95%:]_eval_results.txt → evaluation_with_lm/openslr_SLR53_train[95%:]_eval_results.txt RENAMED
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