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wav2vec2-common_voice-tr-demo

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3815
  • Wer: 0.3493

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: 15.0

Training results

Training Loss Epoch Step Validation Loss Wer
No log 0.92 100 3.5559 1.0
No log 1.83 200 3.0161 0.9999
No log 2.75 300 0.8587 0.7443
No log 3.67 400 0.5855 0.6121
3.1095 4.59 500 0.4841 0.5204
3.1095 5.5 600 0.4533 0.4923
3.1095 6.42 700 0.4157 0.4342
3.1095 7.34 800 0.4304 0.4334
3.1095 8.26 900 0.4097 0.4068
0.2249 9.17 1000 0.4049 0.3881
0.2249 10.09 1100 0.3993 0.3809
0.2249 11.01 1200 0.3855 0.3782
0.2249 11.93 1300 0.3923 0.3713
0.2249 12.84 1400 0.3833 0.3591
0.1029 13.76 1500 0.3811 0.3570
0.1029 14.68 1600 0.3834 0.3499

Framework versions

  • Transformers 4.13.0.dev0
  • Pytorch 1.12.0a0+2c916ef
  • Datasets 2.2.2
  • Tokenizers 0.10.3
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Dataset used to train x574chen/wav2vec2-common_voice-tr-demo