Set model to checkpoint STEP 13000 and update readme

README.md

@@ -6,32 +6,20 @@ tags:
 - automatic-speech-recognition
 - mozilla-foundation/common_voice_8_0
 - generated_from_trainer
+- robust-speech-event
 model-index:
 - name: ''
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# 
-
-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:
-- Loss: inf
-- Wer: 0.2937
-
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
+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.
 
 ## Training and evaluation data
 
-More information needed
+It achieves the following results on the evaluation set:
+- Wer: 0.1834 (STEP 13000)
 
 ## Training procedure
 
@@ -68,6 +56,7 @@ The following hyperparameters were used during training:
 | 0.8015        | 3.44  | 12000 | inf             | 0.1880 |
 | 0.774         | 3.73  | 13000 | inf             | 0.1834 |
 
+Some problems occur when calculating the validation loss.
 
 ### Framework versions
 

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 3850548401