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rinabuoy/whisper-base-khmer-aug

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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-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2816
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- - Wer: 67.1639
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  ## Model description
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@@ -52,16 +52,16 @@ 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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- | 1.0104 | 1.0 | 670 | 0.4883 | 90.8059 |
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- | 0.5473 | 2.0 | 1340 | 0.3166 | 92.7680 |
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- | 0.4257 | 3.0 | 2010 | 0.2780 | 78.1904 |
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- | 0.364 | 4.0 | 2680 | 0.2614 | 78.2552 |
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- | 0.3197 | 5.0 | 3350 | 0.2493 | 71.9150 |
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- | 0.2863 | 6.0 | 4020 | 0.2539 | 73.3420 |
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- | 0.2574 | 7.0 | 4690 | 0.2557 | 69.5962 |
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- | 0.2358 | 8.0 | 5360 | 0.2655 | 69.6935 |
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- | 0.2154 | 9.0 | 6030 | 0.2662 | 68.7693 |
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- | 0.1956 | 10.0 | 6700 | 0.2816 | 67.1639 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2505
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+ - Wer: 63.2723
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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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+ | 0.6835 | 1.0 | 670 | 0.2957 | 79.4714 |
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+ | 0.2814 | 2.0 | 1340 | 0.2385 | 73.0988 |
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+ | 0.2102 | 3.0 | 2010 | 0.2247 | 68.2828 |
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+ | 0.1726 | 4.0 | 2680 | 0.2124 | 67.2288 |
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+ | 0.147 | 5.0 | 3350 | 0.2230 | 66.5802 |
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+ | 0.1243 | 6.0 | 4020 | 0.2268 | 72.6123 |
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+ | 0.1078 | 7.0 | 4690 | 0.2268 | 65.4775 |
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+ | 0.0949 | 8.0 | 5360 | 0.2329 | 63.2074 |
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+ | 0.0834 | 9.0 | 6030 | 0.2507 | 63.2074 |
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+ | 0.0732 | 10.0 | 6700 | 0.2505 | 63.2723 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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