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stdbug
/
whisper-base-ba

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Bashkir
whisper
Generated from Trainer
Eval Results
Model card Files
xet
Metrics Community
stdbug commited on
Commit
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1 Parent(s): a9c6b10

End of training

Browse files
Files changed (4) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Jan30_01-12-29_DESKTOP-GRFRT6G/events.out.tfevents.1738195953.DESKTOP-GRFRT6G.41403.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -14,16 +14,16 @@ model-index:
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  - name: Whisper base bashkir
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  results:
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  - task:
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- type: automatic-speech-recognition
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  name: Automatic Speech Recognition
 
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  dataset:
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  name: Common Voice 17.0 (ba)
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  type: stdbug/common-voice-17-ba
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  args: 'config: ba, split: test'
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  metrics:
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- - type: wer
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- value: 49.77359804946012
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- name: Wer
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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
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 17.0 (ba) dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3610
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- - Wer: 49.7736
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  ## Model description
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@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|
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- | 0.2697 | 0.9994 | 1730 | 0.3610 | 49.7736 |
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  ### Framework versions
 
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  - name: Whisper base bashkir
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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 (ba)
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  type: stdbug/common-voice-17-ba
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  args: 'config: ba, split: test'
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  metrics:
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+ - name: Wer
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+ type: wer
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+ value: 45.918015845676884
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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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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 17.0 (ba) dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3101
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+ - Wer: 45.9180
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.253 | 0.9994 | 1730 | 0.3101 | 45.9180 |
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  ### Framework versions
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