m3hrdadfi
/

wav2vec2-large-xlsr-georgian

Automatic Speech Recognition Transformers PyTorch JAX

Georgian wav2vec2 audio speech xlsr-fine-tuning-week Eval Results Inference Endpoints

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m3hrdadfi commited on Mar 28, 2021

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1 Parent(s): 72cabd7

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@@ -26,7 +26,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 54.00
 ---
@@ -68,7 +68,7 @@ chars_to_ignore = [
     "“", "%", "‘", "�", "–", "…", "_", "”", '“', '„'
 ]
 chars_to_mapping = {
-"\u200c": " ", "\u200d": " ", "\u200e": " ", "\u200f": " ", "\ufeff": " ",
 }
 def multiple_replace(text, chars_to_mapping):
@@ -193,7 +193,7 @@ chars_to_ignore = [
     "“", "%", "‘", "�", "–", "…", "_", "”", '“', '„'
 ]
 chars_to_mapping = {
-    "\u200c": " ", "\u200d": " ", "\u200e": " ", "\u200f": " ", "\ufeff": " ",
 }
 def multiple_replace(text, chars_to_mapping):
@@ -260,7 +260,7 @@ print("WER: {:.2f}".format(100 * wer.compute(predictions=result["predicted"], re
 **Test Result**:
-- WER: 54.00%
 ## Training & Report

     metrics:
        - name: Test WER
          type: wer
+         value: 53.96
 ---
     "“", "%", "‘", "�", "–", "…", "_", "”", '“', '„'
 ]
 chars_to_mapping = {
+"\\u200c": " ", "\\u200d": " ", "\\u200e": " ", "\\u200f": " ", "\\ufeff": " ",
 }
 def multiple_replace(text, chars_to_mapping):
     "“", "%", "‘", "�", "–", "…", "_", "”", '“', '„'
 ]
 chars_to_mapping = {
+    "\\u200c": " ", "\\u200d": " ", "\\u200e": " ", "\\u200f": " ", "\\ufeff": " ",
 }
 def multiple_replace(text, chars_to_mapping):
 **Test Result**:
+- WER: 53.96%
 ## Training & Report