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Get back to checkpoint 17000 and modify readme

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  1. README.md +5 -16
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -6,32 +6,20 @@ tags:
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  - automatic-speech-recognition
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  - mozilla-foundation/common_voice_8_0
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  - generated_from_trainer
 
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  model-index:
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  - name: ''
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  results: []
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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- #
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-
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- 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.
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- It achieves the following results on the evaluation set:
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- - Loss: inf
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- - Wer: 0.9997
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-
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  ## Model description
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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  ## Training and evaluation data
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- More information needed
 
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  ## Training procedure
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@@ -72,6 +60,7 @@ The following hyperparameters were used during training:
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  | 0.8488 | 4.59 | 16000 | inf | 0.2187 |
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  | 0.8359 | 4.87 | 17000 | inf | 0.2172 |
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  ### Framework versions
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  - automatic-speech-recognition
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  - mozilla-foundation/common_voice_8_0
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  - generated_from_trainer
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+ - robust-speech-event
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  model-index:
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  - name: ''
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  results: []
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  ---
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  ## Model description
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+ 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.
 
 
 
 
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  ## Training and evaluation data
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+ It achieves the following results on the evaluation set (Step 17000):
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+ - Wer: 0.2172
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  ## Training procedure
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  | 0.8488 | 4.59 | 16000 | inf | 0.2187 |
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  | 0.8359 | 4.87 | 17000 | inf | 0.2172 |
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+ Got some issue with validation loss calculation.
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  ### Framework versions
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@@ -1,3 +1,3 @@
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