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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
5346130
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1 Parent(s): 74ac9e6

End of training

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Files changed (3) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Oct13_15-49-41_e99f9649e4b6/events.out.tfevents.1728834583.e99f9649e4b6.526.0 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 102.84463894967178
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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: 3.1674
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- - Wer: 102.8446
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  ## Model description
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@@ -66,11 +66,11 @@ 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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- | 0.3851 | 10.0 | 200 | 2.6828 | 101.7505 |
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- | 0.0097 | 20.0 | 400 | 2.9628 | 101.5317 |
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- | 0.002 | 30.0 | 600 | 3.1073 | 100.2188 |
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- | 0.001 | 40.0 | 800 | 3.1528 | 101.9694 |
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- | 0.0008 | 50.0 | 1000 | 3.1674 | 102.8446 |
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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: 106.09137055837563
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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: 3.0264
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+ - Wer: 106.0914
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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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+ | 0.3022 | 12.5 | 200 | 2.6624 | 109.5431 |
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+ | 0.0077 | 25.0 | 400 | 2.8312 | 105.1777 |
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+ | 0.0012 | 37.5 | 600 | 2.9571 | 110.4569 |
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+ | 0.0008 | 50.0 | 800 | 3.0120 | 107.6142 |
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+ | 0.0007 | 62.5 | 1000 | 3.0264 | 106.0914 |
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  ### Framework versions
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