makhataei commited on
Commit
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Training in progress, step 30

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README.md CHANGED
@@ -1,7 +1,6 @@
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  ---
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  language:
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  - fa
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- license: apache-2.0
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  base_model: makhataei/Whisper-Small-Common-Voice
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  tags:
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  - fa-asr
@@ -22,8 +21,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [makhataei/Whisper-Small-Common-Voice](https://huggingface.co/makhataei/Whisper-Small-Common-Voice) on the Common Voice 17.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7219
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- - Wer: 46.5235
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  ## Model description
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@@ -42,7 +41,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-06
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  - train_batch_size: 10
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  - eval_batch_size: 10
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  - seed: 42
@@ -57,16 +56,16 @@ 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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- | 0.0057 | 0.15 | 100 | 0.7193 | 45.7885 |
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- | 0.0051 | 0.31 | 200 | 0.7189 | 44.8246 |
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- | 0.0027 | 0.46 | 300 | 0.7138 | 46.2762 |
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- | 0.0025 | 0.61 | 400 | 0.7172 | 45.8786 |
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- | 0.0029 | 0.77 | 500 | 0.7175 | 47.2909 |
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- | 0.0071 | 0.92 | 600 | 0.7199 | 46.7847 |
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- | 0.0273 | 1.07 | 700 | 0.7144 | 46.7616 |
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- | 0.0015 | 1.23 | 800 | 0.7174 | 46.6391 |
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- | 0.0016 | 1.38 | 900 | 0.7211 | 46.4958 |
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- | 0.0013 | 1.53 | 1000 | 0.7219 | 46.5235 |
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  ### Framework versions
 
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  ---
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  language:
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  - fa
 
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  base_model: makhataei/Whisper-Small-Common-Voice
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  tags:
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  - fa-asr
 
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  This model is a fine-tuned version of [makhataei/Whisper-Small-Common-Voice](https://huggingface.co/makhataei/Whisper-Small-Common-Voice) on the Common Voice 17.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7171
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+ - Wer: 45.7260
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-07
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  - train_batch_size: 10
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  - eval_batch_size: 10
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.0016 | 0.15 | 100 | 0.7187 | 45.7353 |
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+ | 0.0019 | 0.31 | 200 | 0.7200 | 45.5897 |
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+ | 0.0027 | 0.46 | 300 | 0.7182 | 45.4625 |
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+ | 0.0026 | 0.61 | 400 | 0.7183 | 45.3423 |
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+ | 0.0029 | 0.77 | 500 | 0.7180 | 45.2845 |
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+ | 0.0075 | 0.92 | 600 | 0.7182 | 45.7723 |
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+ | 0.0301 | 1.07 | 700 | 0.7169 | 45.7445 |
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+ | 0.0025 | 1.23 | 800 | 0.7168 | 45.7492 |
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+ | 0.003 | 1.38 | 900 | 0.7171 | 45.7237 |
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+ | 0.0028 | 1.53 | 1000 | 0.7171 | 45.7260 |
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  ### Framework versions
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