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 can be used for automatic speech recognition tasks and has achieved certain performance on the evaluation set.

🚀 Quick Start

This section will guide you to quickly understand the basic information and performance of this model.

✨ Features

• This model is fine - tuned on the MULTILINGUAL_LIBRISPEECH - GERMAN dataset, which is suitable for German automatic speech recognition tasks.
• It achieves the following results on the evaluation set:
  • Loss: 2.9325
  • Wer: 1.0

📚 Documentation

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

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.9.0+cu111
• Datasets 1.15.2.dev0
• Tokenizers 0.10.3

📄 License

This model is licensed under the Apache - 2.0 license.