--- language: - fa tags: - automatic-speech-recognition - common_voice - generated_from_trainer datasets: - common_voice model-index: - name: common6 results: [] --- # 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: 0.3502 - Wer: 0.3550 ## 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: 100.0 - 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 | | 0.8045 | 80.0 | 4000 | 0.3607 | 0.3621 | | 0.7799 | 90.0 | 4500 | 0.3501 | 0.3561 | | 0.7769 | 100.0 | 5000 | 0.3502 | 0.3550 | ### Framework versions - Transformers 4.17.0.dev0 - Pytorch 1.10.2 - Datasets 1.18.3.dev0 - Tokenizers 0.10.3