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End of training

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  1. README.md +10 -9
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@@ -11,8 +11,6 @@ metrics:
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  model-index:
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  - name: Whisper Tiny TR
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  results: []
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- datasets:
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- - mozilla-foundation/common_voice_13_0
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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
@@ -20,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Tiny TR
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- This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 13 Turkish 50% dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6245
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- - Wer: 68.7152
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  ## Model description
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@@ -57,9 +55,12 @@ 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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- | 0.5148 | 0.99 | 97 | 0.6192 | 70.3862 |
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- | 0.3882 | 1.99 | 194 | 0.6211 | 67.7497 |
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- | 0.4046 | 2.98 | 291 | 0.6245 | 68.7152 |
 
 
 
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  ### Framework versions
@@ -67,4 +68,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.35.0.dev0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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- - Tokenizers 0.14.1
 
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  model-index:
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  - name: Whisper Tiny TR
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  results: []
 
 
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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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  # Whisper Tiny TR
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 13 Turkish 70% dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5730
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+ - Wer: 55.4805
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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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+ | 0.3106 | 0.5 | 97 | 0.5626 | 57.0558 |
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+ | 0.3361 | 1.0 | 194 | 0.5635 | 56.9995 |
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+ | 0.3089 | 1.5 | 291 | 0.5639 | 57.6184 |
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+ | 0.2665 | 1.99 | 388 | 0.5746 | 56.4088 |
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+ | 0.2794 | 2.49 | 485 | 0.5799 | 56.2213 |
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+ | 0.2364 | 2.99 | 582 | 0.5730 | 55.4805 |
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  ### Framework versions
 
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  - Transformers 4.35.0.dev0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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+ - Tokenizers 0.14.1