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Norm_Malasar_Luke

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Malasar
whisper
Generated from Trainer
Model card Files
xet
 Metrics Community
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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -8,19 +8,19 @@ tags:
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  metrics:
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  - wer
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  model-index:
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- - name: leenag/Malasar_Luke
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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- # leenag/Malasar_Luke
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5351
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- - Wer: 53.0086
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  ## Model description
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@@ -53,14 +53,14 @@ 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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- | 0.1444 | 11.3636 | 250 | 0.2931 | 60.4585 |
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- | 0.0088 | 22.7273 | 500 | 0.4118 | 57.6504 |
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- | 0.0019 | 34.0909 | 750 | 0.4601 | 52.3209 |
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- | 0.0003 | 45.4545 | 1000 | 0.5022 | 51.8052 |
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- | 0.0002 | 56.8182 | 1250 | 0.5181 | 52.2063 |
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- | 0.0002 | 68.1818 | 1500 | 0.5280 | 53.0086 |
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- | 0.0002 | 79.5455 | 1750 | 0.5332 | 53.0086 |
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- | 0.0002 | 90.9091 | 2000 | 0.5351 | 53.0086 |
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  ### Framework versions
 
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  metrics:
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  - wer
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  model-index:
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+ - name: leenag/Norm_Malasar_Luke
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # leenag/Norm_Malasar_Luke
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5217
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+ - Wer: 52.4656
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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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+ | 0.1406 | 11.3636 | 250 | 0.2856 | 55.7339 |
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+ | 0.0084 | 22.7273 | 500 | 0.4196 | 53.8417 |
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+ | 0.0022 | 34.0909 | 750 | 0.4641 | 53.3257 |
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+ | 0.0005 | 45.4545 | 1000 | 0.4835 | 51.6628 |
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+ | 0.0002 | 56.8182 | 1250 | 0.5049 | 52.0642 |
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+ | 0.0002 | 68.1818 | 1500 | 0.5149 | 52.4656 |
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+ | 0.0002 | 79.5455 | 1750 | 0.5200 | 52.2936 |
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+ | 0.0002 | 90.9091 | 2000 | 0.5217 | 52.4656 |
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  ### Framework versions
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