Edit model card

wav2vec2-100m-mls-german-ft-2

This model is a fine-tuned version of facebook/wav2vec2-xls-r-100m on the MULTILINGUAL_LIBRISPEECH - GERMAN dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9304
  • Wer: 1.0

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: 0.0005
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 64
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
2.9545 14.29 500 2.9354 1.0
2.9537 28.57 1000 2.9359 1.0
2.9602 42.86 1500 2.9302 1.0
2.9586 57.14 2000 2.9298 1.0
2.9331 71.43 2500 2.9314 1.0
2.9321 85.71 3000 2.9304 1.0
2.9652 100.0 3500 2.9304 1.0

Framework versions

  • Transformers 4.13.0.dev0
  • Pytorch 1.9.0+cu111
  • Datasets 1.15.2.dev0
  • Tokenizers 0.10.3
Downloads last month
4
Hosted inference API
or or
This model can be loaded on the Inference API on-demand.

Dataset used to train patrickvonplaten/wav2vec2-100m-mls-german-ft-2