End of training

README.md

@@ -1,7 +1,11 @@
 ---
+language:
+- ug
 license: apache-2.0
 base_model: facebook/wav2vec2-xls-r-300m
 tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_11_0
 - generated_from_trainer
 datasets:
 - common_voice_11_0
@@ -9,20 +13,7 @@ metrics:
 - wer
 model-index:
 - name: xls-r-uyghur-cv11
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: common_voice_11_0
-      type: common_voice_11_0
-      config: ug
-      split: test
-      args: ug
-    metrics:
-    - name: Wer
-      type: wer
-      value: 0.32705699280295664
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +21,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xls-r-uyghur-cv11
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_11_0 dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_11_0 - UG dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2203
-- Wer: 0.3271
+- Loss: 0.2191
+- Wer: 0.3257
 
 ## Model description
 

all_results.json

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+}

eval_results.json

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+}

train_results.json

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+}

trainer_state.json

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