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update model card README.md

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  1. README.md +8 -4
  2. nohup.out +17 -0
README.md CHANGED
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  ---
 
 
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  license: apache-2.0
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  tags:
 
 
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  - generated_from_trainer
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  datasets:
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  - common_voice
@@ -14,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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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 common_voice dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8086
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- - Wer: 1.2451
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- - Cer: 0.3156
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  ## Model description
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  ---
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+ language:
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+ - zh-HK
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  license: apache-2.0
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  tags:
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+ - automatic-speech-recognition
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+ - common_voice
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  - generated_from_trainer
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  datasets:
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  - common_voice
 
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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 COMMON_VOICE - ZH-HK dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8089
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+ - Wer: 1.2499
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+ - Cer: 0.3173
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  ## Model description
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nohup.out CHANGED
@@ -23262,3 +23262,20 @@ Saving model checkpoint to ./
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  Configuration saved in ./config.json
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  Model weights saved in ./pytorch_model.bin
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  Configuration saved in ./preprocessor_config.json
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Configuration saved in ./config.json
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  Model weights saved in ./pytorch_model.bin
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  Configuration saved in ./preprocessor_config.json
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+ To https://huggingface.co/w11wo/wav2vec2-xls-r-300m-zh-HK-v2
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+ 5679ecf..5d161f0 main -> main
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+
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+ ***** eval metrics *****
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+ epoch = 100.0
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+ eval_cer = 0.3173
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+ eval_loss = 0.8089
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+ eval_runtime = 0:01:56.95
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+ eval_samples = 2302
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+ eval_samples_per_second = 19.682
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+ eval_steps_per_second = 2.462
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+ eval_wer = 1.2499
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+ 02/07/2022 12:48:24 - WARNING - huggingface_hub.repository - To https://huggingface.co/w11wo/wav2vec2-xls-r-300m-zh-HK-v2
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+ 5679ecf..5d161f0 main -> main
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+
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+ Dropping the following result as it does not have all the necessary fields:
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+ {'dataset': {'name': 'COMMON_VOICE - ZH-HK', 'type': 'common_voice', 'args': 'Config: zh-HK, Training split: train+validation, Eval split: test'}}