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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: 0.18583042973286876
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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
@@ -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: 0.0001
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- - Wer: 0.1858
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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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- | 0.0142 | 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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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.05063291139240507
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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: 0.0002
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+ - Wer: 0.0506
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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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+ | 0.0339 | 0.8621 | 50 | 0.0211 | 2.5316 |
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+ | 0.0237 | 1.7241 | 100 | 0.0104 | 1.5949 |
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+ | 0.0109 | 2.5862 | 150 | 0.0058 | 0.8354 |
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+ | 0.0046 | 3.4483 | 200 | 0.0029 | 0.4051 |
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+ | 0.0038 | 4.3103 | 250 | 0.0014 | 0.1519 |
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+ | 0.0017 | 5.1724 | 300 | 0.0015 | 0.4051 |
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+ | 0.0019 | 6.0345 | 350 | 0.0006 | 0.2025 |
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+ | 0.0011 | 6.8966 | 400 | 0.0005 | 0.2532 |
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+ | 0.0007 | 7.7586 | 450 | 0.0004 | 0.0506 |
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+ | 0.0002 | 8.6207 | 500 | 0.0004 | 0.0506 |
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+ | 0.0003 | 9.4828 | 550 | 0.0003 | 0.0506 |
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+ | 0.0004 | 10.3448 | 600 | 0.0003 | 0.0506 |
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+ | 0.0001 | 11.2069 | 650 | 0.0002 | 0.0506 |
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+ | 0.0004 | 12.0690 | 700 | 0.0002 | 0.0506 |
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+ | 0.0002 | 12.9310 | 750 | 0.0002 | 0.0506 |
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+ | 0.0004 | 13.7931 | 800 | 0.0002 | 0.0506 |
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+ | 0.0001 | 14.6552 | 850 | 0.0002 | 0.0506 |
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+ | 0.0002 | 15.5172 | 900 | 0.0002 | 0.0506 |
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+ | 0.0003 | 16.3793 | 950 | 0.0002 | 0.0506 |
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+ | 0.0002 | 17.2414 | 1000 | 0.0002 | 0.0506 |
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  ### Framework versions
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