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jlvdoorn
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whisper-tiny-atcosim

Automatic Speech Recognition
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whisper
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  1. README.md +14 -14
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0718
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- - Wer: 72.8885
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  ## Model description
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@@ -50,18 +50,18 @@ 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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- | 0.2141 | 8.33 | 500 | 0.0623 | 15.6696 |
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- | 0.0021 | 16.67 | 1000 | 0.0636 | 34.9463 |
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- | 0.0007 | 25.0 | 1500 | 0.0676 | 47.4023 |
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- | 0.0003 | 33.33 | 2000 | 0.0666 | 57.0383 |
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- | 0.0002 | 41.67 | 2500 | 0.0677 | 63.1413 |
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- | 0.0002 | 50.0 | 3000 | 0.0686 | 64.6879 |
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- | 0.0001 | 58.33 | 3500 | 0.0694 | 68.1608 |
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- | 0.0001 | 66.67 | 4000 | 0.0701 | 70.0639 |
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- | 0.0001 | 75.0 | 4500 | 0.0708 | 71.2956 |
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- | 0.0001 | 83.33 | 5000 | 0.0713 | 72.0411 |
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- | 0.0001 | 91.67 | 5500 | 0.0716 | 72.8839 |
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- | 0.0001 | 100.0 | 6000 | 0.0718 | 72.8885 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0711
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+ - Wer: 72.8237
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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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+ | 0.2141 | 8.33 | 500 | 0.0633 | 15.6047 |
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+ | 0.0023 | 16.67 | 1000 | 0.0629 | 29.2091 |
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+ | 0.0007 | 25.0 | 1500 | 0.0646 | 46.2076 |
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+ | 0.0003 | 33.33 | 2000 | 0.0659 | 54.1767 |
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+ | 0.0002 | 41.67 | 2500 | 0.0670 | 58.2284 |
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+ | 0.0002 | 50.0 | 3000 | 0.0679 | 64.0952 |
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+ | 0.0001 | 58.33 | 3500 | 0.0688 | 65.9520 |
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+ | 0.0001 | 66.67 | 4000 | 0.0695 | 68.5081 |
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+ | 0.0001 | 75.0 | 4500 | 0.0701 | 70.5316 |
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+ | 0.0001 | 83.33 | 5000 | 0.0706 | 72.2217 |
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+ | 0.0001 | 91.67 | 5500 | 0.0710 | 72.6801 |
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+ | 0.0001 | 100.0 | 6000 | 0.0711 | 72.8237 |
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  ### Framework versions
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