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update model card README.md

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  1. README.md +9 -6
  2. run.log +12 -0
README.md CHANGED
@@ -1,20 +1,23 @@
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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_11_0
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  metrics:
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  - wer
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  model-index:
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- - name: openai/whisper-medium
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  results:
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  - task:
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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- name: common_voice_11_0
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- type: common_voice_11_0
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  config: cs
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  split: test
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  args: cs
@@ -27,9 +30,9 @@ model-index:
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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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- # openai/whisper-medium
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- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_11_0 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2417
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  - Wer: 11.4086
 
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  ---
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+ language:
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+ - cs
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  license: apache-2.0
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  tags:
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+ - whisper-event
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  - generated_from_trainer
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  datasets:
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+ - mozilla-foundation/common_voice_11_0
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Medium Czech 2 CV11
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  results:
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  - task:
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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+ name: mozilla-foundation/common_voice_11_0 cs
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+ type: mozilla-foundation/common_voice_11_0
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  config: cs
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  split: test
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  args: cs
 
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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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+ # Whisper Medium Czech 2 CV11
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 cs dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2417
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  - Wer: 11.4086
run.log CHANGED
@@ -507,3 +507,15 @@ To https://huggingface.co/mikr/whisper-medium-czech-cv11
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  train_samples_per_second = 2.245
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  train_steps_per_second = 0.035
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  12/13/2022 09:52:16 - INFO - __main__ - *** Evaluate ***
 
 
 
 
 
 
 
 
 
 
 
 
 
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  train_samples_per_second = 2.245
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  train_steps_per_second = 0.035
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  12/13/2022 09:52:16 - INFO - __main__ - *** Evaluate ***
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+ ***** eval metrics *****
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+ epoch = 21.19
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+ eval_loss = 0.2417
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+ eval_runtime = 2:48:44.26
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+ eval_samples_per_second = 0.762
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+ eval_steps_per_second = 0.024
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+ eval_wer = 11.4086
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+ 12/13/2022 12:41:56 - WARNING - huggingface_hub.repository - remote: Scanning LFS files for validity, may be slow...
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+ remote: LFS file scan complete.
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+ To https://huggingface.co/mikr/whisper-medium-czech-cv11
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+ faaba36..24bd50e main -> main
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+