move eval.py

README.md

@@ -1,42 +1,3 @@
----
-language:
-- fr
-license: apache-2.0
-tags:
-- automatic-speech-recognition
-- mozilla-foundation/common_voice_8_0
-- fr
-- robust-speech-event
-datasets:
-- mozilla-foundation/common_voice_8_0
-model-index:
-- name: XLS-R-1B - French
-  results:
-  - task: 
-      name: Automatic Speech Recognition 
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 8
-      type: mozilla-foundation/common_voice_8_0
-      args: fr
-    metrics:
-       - name: Test WER (without LM)
-         type: wer
-         value: 15.405483405483406
-       - name: Test CER (without LM)
-         type: cer
-         value: 4.8773030225289137
-       - name: Test WER (with LM)
-         type: wer
-         value: 12.5
----
-
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - FR dataset.
-It achieves the following results on the evaluation set:
-
----
-
-**Without LM**:
-- Wer: 0.154
-**With LM**:
-- Wer: 0.125
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