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makhataei
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Whisper-Small-Common-Voice

Automatic Speech Recognition
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Persian
whisper
fa-asr
Generated from Trainer
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End of training

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  1. README.md +33 -33
  2. model.safetensors +1 -1
  3. runs/Jan04_09-30-18_Software-AI/events.out.tfevents.1704348021.Software-AI.3177486.0 +2 -2
README.md CHANGED
@@ -22,8 +22,8 @@ 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 16.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7773
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- - Wer: 58.2147
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  ## Model description
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@@ -42,7 +42,7 @@ 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-05
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  - train_batch_size: 10
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  - eval_batch_size: 10
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  - seed: 42
@@ -57,36 +57,36 @@ 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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- | 0.0106 | 0.16 | 100 | 0.7024 | 44.3125 |
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- | 0.0107 | 0.31 | 200 | 0.7246 | 46.4665 |
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- | 0.0121 | 0.47 | 300 | 0.7213 | 44.8249 |
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- | 0.0096 | 0.62 | 400 | 0.7252 | 48.7294 |
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- | 0.0118 | 0.78 | 500 | 0.7118 | 47.6837 |
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- | 0.011 | 0.93 | 600 | 0.7221 | 47.6119 |
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- | 0.0058 | 1.09 | 700 | 0.7494 | 46.9117 |
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- | 0.0051 | 1.25 | 800 | 0.7611 | 46.6844 |
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- | 0.009 | 1.4 | 900 | 0.7271 | 47.2919 |
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- | 0.0077 | 1.56 | 1000 | 0.7287 | 58.6274 |
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- | 0.0058 | 1.71 | 1100 | 0.7582 | 64.5653 |
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- | 0.0067 | 1.87 | 1200 | 0.7135 | 66.7841 |
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- | 0.0031 | 2.03 | 1300 | 0.7395 | 61.1755 |
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- | 0.0033 | 2.18 | 1400 | 0.7353 | 62.7568 |
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- | 0.0025 | 2.34 | 1500 | 0.7535 | 68.1080 |
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- | 0.0022 | 2.49 | 1600 | 0.7521 | 63.5126 |
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- | 0.0151 | 2.65 | 1700 | 0.7546 | 71.5140 |
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- | 0.0022 | 2.8 | 1800 | 0.7470 | 79.6058 |
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- | 0.0017 | 2.96 | 1900 | 0.7286 | 70.0348 |
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- | 0.0008 | 3.12 | 2000 | 0.7544 | 66.4433 |
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- | 0.0007 | 3.27 | 2100 | 0.7618 | 60.4336 |
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- | 0.0004 | 3.43 | 2200 | 0.7672 | 64.8505 |
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- | 0.0015 | 3.58 | 2300 | 0.7853 | 60.2017 |
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- | 0.0008 | 3.74 | 2400 | 0.7719 | 59.2233 |
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- | 0.0003 | 3.9 | 2500 | 0.7537 | 60.1414 |
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- | 0.0002 | 4.05 | 2600 | 0.7656 | 59.9490 |
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- | 0.0087 | 4.21 | 2700 | 0.7726 | 59.2140 |
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- | 0.0003 | 4.36 | 2800 | 0.7750 | 59.6661 |
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- | 0.0002 | 4.52 | 2900 | 0.7766 | 58.8036 |
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- | 0.0002 | 4.67 | 3000 | 0.7773 | 58.2147 |
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  ### Framework versions
 
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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 16.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7811
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+ - Wer: 43.9230
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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-06
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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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+ | 0.0014 | 0.16 | 100 | 0.7112 | 43.9740 |
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+ | 0.0048 | 0.31 | 200 | 0.7077 | 42.5968 |
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+ | 0.0048 | 0.47 | 300 | 0.7099 | 42.8982 |
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+ | 0.0032 | 0.62 | 400 | 0.7116 | 43.4802 |
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+ | 0.0041 | 0.78 | 500 | 0.7156 | 43.6935 |
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+ | 0.0025 | 0.93 | 600 | 0.7184 | 43.5660 |
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+ | 0.0012 | 1.09 | 700 | 0.7212 | 44.5421 |
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+ | 0.0005 | 1.25 | 800 | 0.7338 | 43.8164 |
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+ | 0.0014 | 1.4 | 900 | 0.7409 | 44.0529 |
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+ | 0.0009 | 1.56 | 1000 | 0.7414 | 44.3010 |
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+ | 0.001 | 1.71 | 1100 | 0.7408 | 45.0475 |
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+ | 0.0006 | 1.87 | 1200 | 0.7447 | 44.6812 |
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+ | 0.0005 | 2.03 | 1300 | 0.7493 | 43.4268 |
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+ | 0.0005 | 2.18 | 1400 | 0.7564 | 43.2877 |
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+ | 0.0004 | 2.34 | 1500 | 0.7580 | 43.8280 |
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+ | 0.0004 | 2.49 | 1600 | 0.7626 | 43.5173 |
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+ | 0.019 | 2.65 | 1700 | 0.7654 | 43.7677 |
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+ | 0.0004 | 2.8 | 1800 | 0.7679 | 43.8001 |
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+ | 0.0003 | 2.96 | 1900 | 0.7694 | 43.7491 |
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+ | 0.0003 | 3.12 | 2000 | 0.7713 | 43.8906 |
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+ | 0.0003 | 3.27 | 2100 | 0.7737 | 43.7978 |
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+ | 0.0003 | 3.43 | 2200 | 0.7763 | 43.6031 |
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+ | 0.0003 | 3.58 | 2300 | 0.7770 | 43.9253 |
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+ | 0.0003 | 3.74 | 2400 | 0.7778 | 43.9995 |
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+ | 0.0003 | 3.9 | 2500 | 0.7780 | 44.0946 |
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+ | 0.0003 | 4.05 | 2600 | 0.7787 | 43.8906 |
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+ | 0.0156 | 4.21 | 2700 | 0.7798 | 43.9091 |
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+ | 0.0003 | 4.36 | 2800 | 0.7805 | 43.9114 |
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+ | 0.0003 | 4.52 | 2900 | 0.7809 | 43.9230 |
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+ | 0.0003 | 4.67 | 3000 | 0.7811 | 43.9230 |
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  ### Framework versions
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