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update model card README.md

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  1. README.md +10 -9
  2. run.log +12 -0
README.md CHANGED
@@ -1,38 +1,39 @@
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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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- - voxpopuli
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  metrics:
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  - wer
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  model-index:
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- - name: openai/whisper-small
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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: voxpopuli
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- type: voxpopuli
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  config: hr
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  split: test
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  args: hr
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  metrics:
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  - name: Wer
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  type: wer
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- value: 25.43475821833277
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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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- # openai/whisper-small
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the voxpopuli dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6405
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- - Wer: 25.4348
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  ## Model description
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  ---
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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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+ - facebook/voxpopuli
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Small Croatian
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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: facebook/voxpopuli hr
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+ type: facebook/voxpopuli
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  config: hr
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  split: test
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  args: hr
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 25.37305060024683
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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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+ # Whisper Small Croatian
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the facebook/voxpopuli hr dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6325
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+ - Wer: 25.3731
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  ## Model description
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run.log CHANGED
@@ -447,3 +447,15 @@ To https://huggingface.co/mikr/whisper-small-hr-vox
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  train_samples_per_second = 8.117
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  train_steps_per_second = 0.127
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  12/15/2022 10:12:14 - INFO - __main__ - *** Evaluate ***
 
 
 
 
 
 
 
 
 
 
 
 
 
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  train_samples_per_second = 8.117
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  train_steps_per_second = 0.127
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  12/15/2022 10:12:14 - INFO - __main__ - *** Evaluate ***
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+ ***** eval metrics *****
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+ epoch = 124.01
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+ eval_loss = 0.6325
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+ eval_runtime = 0:10:46.41
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+ eval_samples_per_second = 1.03
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+ eval_steps_per_second = 0.032
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+ eval_wer = 25.3731
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+ 12/15/2022 10:23:21 - 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-small-hr-vox
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+ c404c89..bb31423 main -> main
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+