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End of training

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  1. README.md +23 -23
  2. model.safetensors +1 -1
README.md CHANGED
@@ -24,7 +24,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 0.12594458438287154
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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
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nurzhanit/whisper-enhanced-ml](https://huggingface.co/nurzhanit/whisper-enhanced-ml) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0002
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- - Wer: 0.1259
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  ## Model description
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@@ -67,26 +67,26 @@ 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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- | 0.0591 | 0.8772 | 50 | 0.0221 | 3.6524 |
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- | 0.0214 | 1.7544 | 100 | 0.0136 | 3.1234 |
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- | 0.0106 | 2.6316 | 150 | 0.0094 | 2.1159 |
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- | 0.0094 | 3.5088 | 200 | 0.0060 | 3.6020 |
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- | 0.0021 | 4.3860 | 250 | 0.0044 | 4.3325 |
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- | 0.0047 | 5.2632 | 300 | 0.0018 | 3.8287 |
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- | 0.002 | 6.1404 | 350 | 0.0011 | 0.7557 |
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- | 0.0026 | 7.0175 | 400 | 0.0012 | 0.9572 |
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- | 0.0017 | 7.8947 | 450 | 0.0006 | 0.3778 |
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- | 0.0002 | 8.7719 | 500 | 0.0005 | 0.3778 |
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- | 0.0013 | 9.6491 | 550 | 0.0003 | 0.1259 |
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- | 0.0002 | 10.5263 | 600 | 0.0003 | 0.1259 |
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- | 0.0001 | 11.4035 | 650 | 0.0003 | 0.1259 |
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- | 0.0006 | 12.2807 | 700 | 0.0002 | 0.1259 |
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- | 0.0002 | 13.1579 | 750 | 0.0002 | 0.1259 |
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- | 0.0001 | 14.0351 | 800 | 0.0002 | 0.1259 |
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- | 0.0003 | 14.9123 | 850 | 0.0002 | 0.1259 |
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- | 0.0002 | 15.7895 | 900 | 0.0002 | 0.1259 |
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- | 0.0002 | 16.6667 | 950 | 0.0002 | 0.1259 |
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- | 0.0002 | 17.5439 | 1000 | 0.0002 | 0.1259 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.18583042973286876
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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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  This model is a fine-tuned version of [nurzhanit/whisper-enhanced-ml](https://huggingface.co/nurzhanit/whisper-enhanced-ml) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0001
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+ - Wer: 0.1858
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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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+ | 0.0142 | 0.8621 | 50 | 0.0076 | 1.3937 |
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+ | 0.0086 | 1.7241 | 100 | 0.0054 | 1.1614 |
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+ | 0.0067 | 2.5862 | 150 | 0.0032 | 0.5575 |
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+ | 0.0032 | 3.4483 | 200 | 0.0019 | 1.0453 |
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+ | 0.0018 | 4.3103 | 250 | 0.0011 | 0.3252 |
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+ | 0.0016 | 5.1724 | 300 | 0.0012 | 1.3240 |
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+ | 0.0024 | 6.0345 | 350 | 0.0007 | 0.2787 |
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+ | 0.0014 | 6.8966 | 400 | 0.0004 | 0.1858 |
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+ | 0.0012 | 7.7586 | 450 | 0.0002 | 0.1858 |
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+ | 0.0003 | 8.6207 | 500 | 0.0003 | 0.1858 |
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+ | 0.0001 | 9.4828 | 550 | 0.0002 | 0.1858 |
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+ | 0.0004 | 10.3448 | 600 | 0.0002 | 0.1858 |
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+ | 0.0001 | 11.2069 | 650 | 0.0002 | 0.1858 |
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+ | 0.0004 | 12.0690 | 700 | 0.0002 | 0.1858 |
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+ | 0.0004 | 12.9310 | 750 | 0.0002 | 0.1858 |
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+ | 0.0002 | 13.7931 | 800 | 0.0002 | 0.1858 |
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+ | 0.0003 | 14.6552 | 850 | 0.0002 | 0.1858 |
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+ | 0.0001 | 15.5172 | 900 | 0.0001 | 0.1858 |
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+ | 0.0001 | 16.3793 | 950 | 0.0001 | 0.1858 |
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+ | 0.0001 | 17.2414 | 1000 | 0.0001 | 0.1858 |
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  ### Framework versions
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