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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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- common_voice |
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- generated_from_trainer |
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datasets: |
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- common_voice |
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model-index: |
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- name: common6 |
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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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should probably proofread and complete it, then remove this comment. --> |
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# common6 |
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This model is a fine-tuned version of [common6/checkpoint-3500](https://huggingface.co/common6/checkpoint-3500) on the COMMON_VOICE - FA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3706 |
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- Wer: 0.3421 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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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: 200.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 1.0344 | 10.0 | 500 | 0.4043 | 0.4511 | |
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| 0.9651 | 20.0 | 1000 | 0.3793 | 0.4159 | |
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| 0.9125 | 30.0 | 1500 | 0.3756 | 0.4046 | |
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| 0.8831 | 40.0 | 2000 | 0.3650 | 0.3876 | |
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| 0.8399 | 50.0 | 2500 | 0.3605 | 0.3772 | |
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| 0.819 | 60.0 | 3000 | 0.3622 | 0.3714 | |
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| 0.8029 | 70.0 | 3500 | 0.3561 | 0.3664 | |
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| 0.8104 | 80.0 | 4000 | 0.3595 | 0.3660 | |
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| 0.8118 | 90.0 | 4500 | 0.3460 | 0.3592 | |
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| 0.7831 | 100.0 | 5000 | 0.3566 | 0.3593 | |
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| 0.744 | 110.0 | 5500 | 0.3578 | 0.3535 | |
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| 0.7388 | 120.0 | 6000 | 0.3538 | 0.3520 | |
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| 0.714 | 130.0 | 6500 | 0.3682 | 0.3506 | |
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| 0.7291 | 140.0 | 7000 | 0.3625 | 0.3505 | |
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| 0.697 | 150.0 | 7500 | 0.3619 | 0.3479 | |
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| 0.6811 | 160.0 | 8000 | 0.3631 | 0.3440 | |
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| 0.6841 | 170.0 | 8500 | 0.3672 | 0.3460 | |
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| 0.6616 | 180.0 | 9000 | 0.3677 | 0.3410 | |
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| 0.6471 | 190.0 | 9500 | 0.3707 | 0.3420 | |
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| 0.6759 | 200.0 | 10000 | 0.3706 | 0.3421 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2 |
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- Datasets 1.18.3.dev0 |
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- Tokenizers 0.10.3 |
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