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update model card README.md

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  1. README.md +4 -2
  2. nohup.out +17 -0
README.md CHANGED
@@ -1,6 +1,8 @@
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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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  - zeroth_korean_asr
@@ -14,9 +16,9 @@ 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 zeroth_korean_asr dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2088
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  - Wer: 0.2954
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  - Cer: 0.0953
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  ---
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  license: apache-2.0
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  tags:
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+ - automatic-speech-recognition
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+ - kresnik/zeroth_korean
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  - generated_from_trainer
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  datasets:
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  - zeroth_korean_asr
 
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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 KRESNIK/ZEROTH_KOREAN - CLEAN dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2089
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  - Wer: 0.2954
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  - Cer: 0.0953
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nohup.out CHANGED
@@ -5741,3 +5741,20 @@ 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-korean
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+ 2be5bf6..b8d7f07 main -> main
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+
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+ ***** eval metrics *****
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+ epoch = 50.0
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+ eval_cer = 0.0953
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+ eval_loss = 0.2089
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+ eval_runtime = 0:00:41.71
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+ eval_samples = 456
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+ eval_samples_per_second = 10.932
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+ eval_steps_per_second = 1.367
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+ eval_wer = 0.2954
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+ 02/01/2022 15:07:03 - WARNING - huggingface_hub.repository - To https://huggingface.co/w11wo/wav2vec2-xls-r-300m-korean
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+ 2be5bf6..b8d7f07 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': 'KRESNIK/ZEROTH_KOREAN - CLEAN', 'type': 'zeroth_korean_asr', 'args': 'Config: clean, Training split: train, Eval split: test'}}