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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): 8c03062

End of training

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Files changed (3) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Oct12_08-30-00_32b632e39e57/events.out.tfevents.1728721802.32b632e39e57.726.0 +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: 117.61658031088082
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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: 3.7926
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- - Wer: 117.6166
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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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- | 0.4341 | 9.5238 | 200 | 3.0946 | 108.8083 |
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- | 0.0228 | 19.0476 | 400 | 3.4471 | 119.6891 |
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- | 0.0017 | 28.5714 | 600 | 3.7006 | 110.3627 |
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- | 0.0011 | 38.0952 | 800 | 3.7703 | 112.9534 |
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- | 0.001 | 47.6190 | 1000 | 3.7926 | 117.6166 |
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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: 97.67441860465115
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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: 3.6049
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+ - Wer: 97.6744
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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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+ | 0.3972 | 10.5263 | 200 | 3.1759 | 107.3090 |
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+ | 0.0134 | 21.0526 | 400 | 3.3600 | 98.5050 |
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+ | 0.0022 | 31.5789 | 600 | 3.5296 | 99.0033 |
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+ | 0.001 | 42.1053 | 800 | 3.5838 | 94.8505 |
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+ | 0.0008 | 52.6316 | 1000 | 3.6049 | 97.6744 |
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  ### Framework versions
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