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shljessie
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whisperFinetune

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
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End of training

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  1. README.md +12 -12
  2. model.safetensors +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.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5788
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- - Wer: 23.0816
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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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- | 2.837 | 0.2778 | 10 | 1.8599 | 36.0344 |
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- | 0.7523 | 0.5556 | 20 | 0.6735 | 27.1639 |
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- | 0.6525 | 0.8333 | 30 | 0.5461 | 23.2965 |
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- | 0.4156 | 1.1111 | 40 | 0.4989 | 22.3757 |
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- | 0.3478 | 1.3889 | 50 | 0.5054 | 22.4371 |
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- | 0.3294 | 1.6667 | 60 | 0.4953 | 22.4371 |
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- | 0.3547 | 1.9444 | 70 | 0.4787 | 20.1964 |
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- | 0.1265 | 2.2222 | 80 | 0.5288 | 22.2836 |
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- | 0.143 | 2.5 | 90 | 0.5582 | 29.0976 |
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- | 0.1498 | 2.7778 | 100 | 0.5788 | 23.0816 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5745
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+ - Wer: 28.7011
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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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+ | 2.8818 | 0.2778 | 10 | 1.9210 | 39.4679 |
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+ | 0.7557 | 0.5556 | 20 | 0.6926 | 27.2926 |
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+ | 0.5718 | 0.8333 | 30 | 0.5717 | 23.7559 |
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+ | 0.421 | 1.1111 | 40 | 0.5161 | 21.5023 |
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+ | 0.3088 | 1.3889 | 50 | 0.5103 | 21.0955 |
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+ | 0.3415 | 1.6667 | 60 | 0.5155 | 21.6901 |
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+ | 0.3434 | 1.9444 | 70 | 0.5176 | 30.0156 |
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+ | 0.1371 | 2.2222 | 80 | 0.5303 | 20.6886 |
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+ | 0.1349 | 2.5 | 90 | 0.5589 | 22.0344 |
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+ | 0.1461 | 2.7778 | 100 | 0.5745 | 28.7011 |
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  ### Framework versions
model.safetensors CHANGED
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