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wav2vec2-large-xlsr-greek-2

Automatic Speech Recognition
Transformers
PyTorch
Greek
wav2vec2
audio
speech
xlsr-fine-tuning-week
Inference Endpoints
Model card Files Community
skylord commited on
Commit
00ac229
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1 Parent(s): 3d31777

Updated WER

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Files changed (2) hide show
  1. .ipynb_checkpoints/README-checkpoint.md +2 -2
  2. README.md +2 -2
.ipynb_checkpoints/README-checkpoint.md CHANGED
@@ -23,7 +23,7 @@ results:
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  metrics:
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  - name: Test WER
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  type: wer
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- value: 34.006258
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  ---
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  # Wav2Vec2-Large-XLSR-53-Greek
@@ -121,7 +121,7 @@ result = test_dataset.map(evaluate, batched=True, batch_size=8)
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  print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
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  ```
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- **Test Result**: 34.006258 %
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  ## Training
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  metrics:
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  - name: Test WER
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  type: wer
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+ value: 45.048955
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  ---
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  # Wav2Vec2-Large-XLSR-53-Greek
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  print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
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  ```
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+ **Test Result**: 45.048955 %
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  ## Training
README.md CHANGED
@@ -23,7 +23,7 @@ results:
23
  metrics:
24
  - name: Test WER
25
  type: wer
26
- value: 34.006258
27
  ---
28
 
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  # Wav2Vec2-Large-XLSR-53-Greek
@@ -121,7 +121,7 @@ result = test_dataset.map(evaluate, batched=True, batch_size=8)
121
  print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
122
  ```
123
 
124
- **Test Result**: 34.006258 %
125
 
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  ## Training
23
  metrics:
24
  - name: Test WER
25
  type: wer
26
+ value: 45.048955
27
  ---
28
 
29
  # Wav2Vec2-Large-XLSR-53-Greek
121
  print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
122
  ```
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+ **Test Result**: 45.048955 %
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  ## Training