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wav2vec2-large-xls-r-300m-romansh-sursilvan

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - RM-SURSILV dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2163
  • Wer: 0.1981

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: 7e-05
  • train_batch_size: 32
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 120.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.1004 23.81 2000 0.3710 0.4191
0.7002 47.62 4000 0.2342 0.2562
0.5573 71.43 6000 0.2175 0.2177
0.4799 95.24 8000 0.2109 0.1987
0.4511 119.05 10000 0.2164 0.1975

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.17.1.dev0
  • Tokenizers 0.11.0
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Dataset used to train infinitejoy/wav2vec2-large-xls-r-300m-romansh-sursilvan

Evaluation results