Edit model card

wav2vec2-large-xls-r-300m-turkish-colab_common_voice-8_6

This model is a fine-tuned version of husnu/wav2vec2-large-xls-r-300m-turkish-colab_common_voice-8_5 on the common_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3646
  • Wer: 0.3478

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: 0.0003
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 6
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.1024 0.51 400 0.4030 0.4171
0.1533 1.02 800 0.4733 0.4570
0.1584 1.53 1200 0.4150 0.4371
0.1538 2.04 1600 0.4104 0.4390
0.1395 2.55 2000 0.3891 0.4133
0.1415 3.07 2400 0.3877 0.4015
0.1261 3.58 2800 0.3685 0.3899
0.1149 4.09 3200 0.3791 0.3881
0.1003 4.6 3600 0.3642 0.3626
0.0934 5.11 4000 0.3755 0.3516
0.0805 5.62 4400 0.3646 0.3478

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.10.3
Downloads last month
0
Hosted inference API
or or
This model can be loaded on the Inference API on-demand.

Dataset used to train husnu/wav2vec2-large-xls-r-300m-turkish-colab_common_voice-8_6