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  1. README.md +9 -6
  2. all_results.json +12 -0
  3. eval_results.json +8 -0
  4. train_results.json +7 -0
  5. trainer_state.json +2518 -0
README.md CHANGED
@@ -1,21 +1,24 @@
1
  ---
 
 
2
  license: apache-2.0
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  base_model: openai/whisper-medium
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  tags:
 
5
  - generated_from_trainer
6
  datasets:
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- - common_voice_13_0
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  metrics:
9
  - wer
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  model-index:
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- - name: openai/whisper-medium
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  results:
13
  - 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_13_0
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- type: common_voice_13_0
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  config: es
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  split: test
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  args: es
@@ -28,9 +31,9 @@ model-index:
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
  should probably proofread and complete it, then remove this comment. -->
30
 
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- # openai/whisper-medium
32
 
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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_13_0 dataset.
34
  It achieves the following results on the evaluation set:
35
  - Loss: 0.1915
36
  - Wer: 5.4088
 
1
  ---
2
+ language:
3
+ - es
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  license: apache-2.0
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  base_model: openai/whisper-medium
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  tags:
7
+ - whisper-event
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  - generated_from_trainer
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  datasets:
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+ - mozilla-foundation/common_voice_13_0
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  metrics:
12
  - wer
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  model-index:
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+ - name: Whisper Medium Spanish
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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:
20
+ name: mozilla-foundation/common_voice_13_0 es
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+ type: mozilla-foundation/common_voice_13_0
22
  config: es
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  split: test
24
  args: es
 
31
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
32
  should probably proofread and complete it, then remove this comment. -->
33
 
34
+ # Whisper Medium Spanish
35
 
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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_13_0 es dataset.
37
  It achieves the following results on the evaluation set:
38
  - Loss: 0.1915
39
  - Wer: 5.4088
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