Get back to checkpoint 17000 and modify 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-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - FR dataset.
-It achieves the following results on the evaluation set:
-- Loss: inf
-- Wer: 0.9997
-
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
+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_8_0 - FR dataset.
 
 ## Training and evaluation data
 
-More information needed
+It achieves the following results on the evaluation set (Step 17000):
+- Wer: 0.2172
 
 ## Training procedure
 
@@ -72,6 +60,7 @@ The following hyperparameters were used during training:
 | 0.8488        | 4.59  | 16000 | inf             | 0.2187 |
 | 0.8359        | 4.87  | 17000 | inf             | 0.2172 |
 
+Got some issue with validation loss calculation.
 
 ### Framework versions
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2c1f086a24d555df97dfb5f6d946142c487382a19b667581f20596eb7a64346a
 size 1262112241