Wav2vec2 Large Xls R 300m Hausa

🚀 wav2vec2-large-xls-r-300m-hausa

This model is a fine - tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA - FOUNDATION/COMMON_VOICE_7_0 - HA dataset. It's designed for automatic speech recognition tasks, offering a practical solution for speech - related applications.

📦 Metadata

📊 Model Index

• Name: XLS - R - 300M - Hausa
• Results:
  • Task:
    • Name: Automatic Speech Recognition
    • Type: automatic - speech - recognition
  • Dataset:
    • Name: Common Voice 7
    • Type: mozilla - foundation/common_voice_7_0
    • Args: ha
  • Metrics:
    • Test WER: 100
    • Test CER: 132.32

🚀 Quick Start

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

• Loss: 0.5756
• Wer: 0.6014

📚 Documentation

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

🔧 Technical Details

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 7e - 05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 100.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.1+cu102
• Datasets 1.17.1.dev0
• Tokenizers 0.11.0

📄 License

This model is licensed under the apache - 2.0 license.