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End of training

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  1. README.md +9 -7
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,25 +1,27 @@
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  ---
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  library_name: transformers
 
 
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
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  datasets:
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- - common_voice_17_0
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  metrics:
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  - wer
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  model-index:
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- - name: whisper-small-alb
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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_17_0
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- type: common_voice_17_0
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  config: sq
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  split: None
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- args: sq
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  metrics:
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  - name: Wer
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  type: wer
@@ -29,9 +31,9 @@ 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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- # whisper-small-alb
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2013
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  - Wer: 52.6332
 
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  ---
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  library_name: transformers
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+ language:
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+ - hi
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - mozilla-foundation/common_voice_17_0
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Small Alb - Sumitesh
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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: mozilla-foundation/common_voice_17_0
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  config: sq
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  split: None
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+ args: 'config: hi, split: test'
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  metrics:
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  - name: Wer
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  type: wer
 
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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 Alb - Sumitesh
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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: 1.2013
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  - Wer: 52.6332
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