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common6

This model is a fine-tuned version of 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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Dataset used to train ghofrani/common6