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kavyamanohar
/
whisper-poula-asr

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Poumei Naga
whisper
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
kavyamanohar commited on
Commit
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1 Parent(s): 469432e

End of training

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Files changed (3) hide show
  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Oct11_17-32-22_be676aaf9535/events.out.tfevents.1728667965.be676aaf9535.270.4 +2 -2
README.md CHANGED
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  metrics:
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  - name: Wer
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  type: wer
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- value: 101.73076923076923
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Paula dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.7583
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- - Wer: 101.7308
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.1565 | 10.0 | 200 | 3.3003 | 109.4231 |
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- | 0.0107 | 20.0 | 400 | 3.5648 | 104.8077 |
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- | 0.0013 | 30.0 | 600 | 3.6987 | 115.9615 |
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- | 0.0008 | 40.0 | 800 | 3.7444 | 101.3462 |
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- | 0.0007 | 50.0 | 1000 | 3.7583 | 101.7308 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 101.20160213618156
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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-small](https://huggingface.co/openai/whisper-small) on the Paula dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.2127
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+ - Wer: 101.2016
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | 0.3498 | 10.5263 | 200 | 2.7008 | 103.7383 |
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+ | 0.0082 | 21.0526 | 400 | 2.9834 | 97.4633 |
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+ | 0.0019 | 31.5789 | 600 | 3.1297 | 103.3378 |
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+ | 0.0009 | 42.1053 | 800 | 3.1949 | 101.7356 |
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+ | 0.0007 | 52.6316 | 1000 | 3.2127 | 101.2016 |
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  ### Framework versions
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