patrickvonplaten / wav2vec2-100m-mls-german-ft

huggingface.co
Total runs: 11
24-hour runs: 0
7-day runs: 2
30-day runs: -14
Model's Last Updated: November 16 2021
automatic-speech-recognition

Introduction of wav2vec2-100m-mls-german-ft

Model Details of wav2vec2-100m-mls-german-ft

wav2vec2-100m-mls-german-ft

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: 2.9325
  • 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: 5e-05
  • 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
8.2135 14.29 500 8.4258 1.0
3.0031 28.57 1000 2.9839 1.0
2.9661 42.86 1500 2.9402 1.0
2.9584 57.14 2000 2.9354 1.0
2.936 71.43 2500 2.9341 1.0
2.9344 85.71 3000 2.9323 1.0
2.9674 100.0 3500 2.9325 1.0
Framework versions
  • Transformers 4.13.0.dev0
  • Pytorch 1.9.0+cu111
  • Datasets 1.15.2.dev0
  • Tokenizers 0.10.3

Runs of patrickvonplaten wav2vec2-100m-mls-german-ft on huggingface.co

11
Total runs
0
24-hour runs
2
3-day runs
2
7-day runs
-14
30-day runs

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