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End of training

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README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # Drone test En - Siang Yi
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the drone command test2 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0264
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- - Wer: 15.9664
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  ## Model description
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@@ -56,26 +56,26 @@ 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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- | 0.0 | 2.5 | 10 | 0.0189 | 15.9664 |
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- | 0.0 | 5.0 | 20 | 0.0076 | 15.9664 |
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- | 0.0005 | 7.5 | 30 | 0.0067 | 15.9664 |
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- | 0.0013 | 10.0 | 40 | 0.0118 | 14.2857 |
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- | 0.0008 | 12.5 | 50 | 0.0140 | 15.9664 |
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- | 0.0001 | 15.0 | 60 | 0.0204 | 15.9664 |
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- | 0.0 | 17.5 | 70 | 0.0215 | 15.9664 |
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- | 0.0 | 20.0 | 80 | 0.0228 | 15.9664 |
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- | 0.0 | 22.5 | 90 | 0.0237 | 15.9664 |
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- | 0.0 | 25.0 | 100 | 0.0245 | 15.9664 |
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- | 0.0 | 27.5 | 110 | 0.0251 | 15.9664 |
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- | 0.0 | 30.0 | 120 | 0.0255 | 15.9664 |
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- | 0.0 | 32.5 | 130 | 0.0257 | 15.9664 |
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- | 0.0 | 35.0 | 140 | 0.0259 | 15.9664 |
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- | 0.0 | 37.5 | 150 | 0.0260 | 15.9664 |
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- | 0.0 | 40.0 | 160 | 0.0262 | 15.9664 |
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- | 0.0 | 42.5 | 170 | 0.0262 | 15.9664 |
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- | 0.0 | 45.0 | 180 | 0.0263 | 15.9664 |
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- | 0.0 | 47.5 | 190 | 0.0263 | 15.9664 |
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- | 0.0 | 50.0 | 200 | 0.0264 | 15.9664 |
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  ### Framework versions
 
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  # Drone test En - Siang Yi
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the drone command test3 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6268
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+ - Wer: 8.3333
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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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+ | 1.86 | 10.0 | 10 | 0.6997 | 25.0 |
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+ | 0.0773 | 20.0 | 20 | 0.1492 | 16.6667 |
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+ | 0.0062 | 30.0 | 30 | 0.5699 | 8.3333 |
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+ | 0.0028 | 40.0 | 40 | 0.5715 | 8.3333 |
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+ | 0.0006 | 50.0 | 50 | 0.5512 | 8.3333 |
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+ | 0.0228 | 60.0 | 60 | 0.6065 | 8.3333 |
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+ | 0.0 | 70.0 | 70 | 0.5899 | 8.3333 |
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+ | 0.0001 | 80.0 | 80 | 0.6822 | 8.3333 |
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+ | 0.0 | 90.0 | 90 | 0.6161 | 8.3333 |
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+ | 0.0 | 100.0 | 100 | 0.6305 | 8.3333 |
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+ | 0.0 | 110.0 | 110 | 0.6301 | 8.3333 |
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+ | 0.0 | 120.0 | 120 | 0.6296 | 8.3333 |
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+ | 0.0 | 130.0 | 130 | 0.6284 | 8.3333 |
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+ | 0.0 | 140.0 | 140 | 0.6283 | 8.3333 |
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+ | 0.0 | 150.0 | 150 | 0.6281 | 8.3333 |
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+ | 0.0 | 160.0 | 160 | 0.6270 | 8.3333 |
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+ | 0.0 | 170.0 | 170 | 0.6280 | 8.3333 |
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+ | 0.0 | 180.0 | 180 | 0.6280 | 8.3333 |
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+ | 0.0 | 190.0 | 190 | 0.6269 | 8.3333 |
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+ | 0.0 | 200.0 | 200 | 0.6268 | 8.3333 |
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  ### Framework versions
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