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wav2vec2-large-xlsr-german
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update WER to 12.90 after evaluating with cleared cache

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maxidl 2021-03-29 15:51:48 +02:00
parent 45a4f3a3c6
commit 698a3d155e
1 changed files with 3 additions and 3 deletions
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@ -23,7 +23,7 @@ model-index:
metrics: metrics:
- name: Test WER - name: Test WER
type: wer type: wer
value: 12.62 value: 12.90
--- ---
# Wav2Vec2-Large-XLSR-53-German # Wav2Vec2-Large-XLSR-53-German
@ -152,7 +152,7 @@ result = test_dataset.map(evaluate, batched=True, batch_size=8) # batch_size=8 -
# non-chunked version: # non-chunked version:
# print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"]))) # print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
# WER: 12.615308 # WER: 12.900291
# Chunked version, see https://discuss.huggingface.co/t/spanish-asr-fine-tuning-wav2vec2/4586/5: # Chunked version, see https://discuss.huggingface.co/t/spanish-asr-fine-tuning-wav2vec2/4586/5:
import jiwer import jiwer
@ -176,7 +176,7 @@ print("Total (chunk_size=1000), WER: {:2f}".format(100 * chunked_wer(result["pre
# Total (chunk=1000), WER: 12.768981 # Total (chunk=1000), WER: 12.768981
``` ```
**Test Result**: 12.62 % **Test Result**: WER: 12.90 %
## Training ## Training