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wav2vec2-xls-r-300m-lg

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the COMMON_VOICE - LG dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6989
  • Wer: 0.8529

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
2.9089 6.33 500 2.8983 1.0002
2.5754 12.66 1000 1.8710 1.0
1.4093 18.99 1500 0.7195 0.8547

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2.dev0
  • Tokenizers 0.11.0

Evaluation Commands

  1. To evaluate on mozilla-foundation/common_voice_7_0 with split test
python eval.py --model_id samitizerxu/wav2vec2-xls-r-300m-lg --dataset mozilla-foundation/common_voice_7_0 --config lg --split test
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Dataset used to train samitizerxu/wav2vec2-xls-r-300m-lg

Evaluation results