update model card README.md
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README.md
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---
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language:
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- fa
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tags:
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- automatic-speech-recognition
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- mozilla-foundation/common_voice_7_0
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- generated_from_trainer
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datasets:
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- common_voice
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# common7
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This model
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.3493
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| 0.8667 | 115.13 | 17500 | 0.3438 | 0.3506 |
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| 0.8895 | 118.42 | 18000 | 0.3434 | 0.3503 |
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| 0.8888 | 121.71 | 18500 | 0.3425 | 0.3494 |
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### Framework versions
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---
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tags:
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- generated_from_trainer
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datasets:
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- common_voice
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# common7
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This model was trained from scratch on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3441
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- Wer: 0.3493
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 150.0
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- mixed_precision_training: Native AMP
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### Training results
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| 0.8667 | 115.13 | 17500 | 0.3438 | 0.3506 |
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| 0.8895 | 118.42 | 18000 | 0.3434 | 0.3503 |
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| 0.8888 | 121.71 | 18500 | 0.3425 | 0.3494 |
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| 0.9453 | 125.0 | 19000 | 0.3415 | 0.3480 |
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| 0.9267 | 128.29 | 19500 | 0.3477 | 0.3503 |
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| 0.8315 | 131.58 | 20000 | 0.3476 | 0.3505 |
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| 0.8542 | 134.86 | 20500 | 0.3475 | 0.3506 |
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| 0.8478 | 138.16 | 21000 | 0.3430 | 0.3481 |
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| 0.8643 | 141.45 | 21500 | 0.3451 | 0.3485 |
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| 0.8705 | 144.73 | 22000 | 0.3444 | 0.3474 |
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| 0.9869 | 148.03 | 22500 | 0.3441 | 0.3493 |
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### Framework versions
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