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---
language:
- fa
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: common6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# common6
This model is a fine-tuned version of [common6/checkpoint-3500](https://huggingface.co/common6/checkpoint-3500) on the COMMON_VOICE - FA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3706
- Wer: 0.3421
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 6e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 200.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.0344 | 10.0 | 500 | 0.4043 | 0.4511 |
| 0.9651 | 20.0 | 1000 | 0.3793 | 0.4159 |
| 0.9125 | 30.0 | 1500 | 0.3756 | 0.4046 |
| 0.8831 | 40.0 | 2000 | 0.3650 | 0.3876 |
| 0.8399 | 50.0 | 2500 | 0.3605 | 0.3772 |
| 0.819 | 60.0 | 3000 | 0.3622 | 0.3714 |
| 0.8029 | 70.0 | 3500 | 0.3561 | 0.3664 |
| 0.8104 | 80.0 | 4000 | 0.3595 | 0.3660 |
| 0.8118 | 90.0 | 4500 | 0.3460 | 0.3592 |
| 0.7831 | 100.0 | 5000 | 0.3566 | 0.3593 |
| 0.744 | 110.0 | 5500 | 0.3578 | 0.3535 |
| 0.7388 | 120.0 | 6000 | 0.3538 | 0.3520 |
| 0.714 | 130.0 | 6500 | 0.3682 | 0.3506 |
| 0.7291 | 140.0 | 7000 | 0.3625 | 0.3505 |
| 0.697 | 150.0 | 7500 | 0.3619 | 0.3479 |
| 0.6811 | 160.0 | 8000 | 0.3631 | 0.3440 |
| 0.6841 | 170.0 | 8500 | 0.3672 | 0.3460 |
| 0.6616 | 180.0 | 9000 | 0.3677 | 0.3410 |
| 0.6471 | 190.0 | 9500 | 0.3707 | 0.3420 |
| 0.6759 | 200.0 | 10000 | 0.3706 | 0.3421 |
### Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2
- Datasets 1.18.3.dev0
- Tokenizers 0.10.3
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