Xls R 300m Dv

🚀 XLS-R-300M - Dhivehi

This model is a fine - tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset, aiming to provide high - quality automatic speech recognition for Dhivehi.

🚀 Quick Start

This section provides a high - level overview of the model. For more detailed information, please refer to the following sections.

✨ Features

• Fine - tuned Model: Based on facebook/wav2vec2-xls-r-300m, fine - tuned on the common_voice dataset.
• Good Performance: Achieves Loss: 0.2855 and Wer: 0.2665 on the evaluation set.

📚 Documentation

Model Information

Model Index

• Name: XLS - R - 300M - Dhivehi
• Results:
  • Task:
    • Name: Automatic Speech Recognition
    • Type: automatic - speech - recognition
  • Dataset:
    • Name: Common Voice 8
    • Type: mozilla - foundation/common_voice_8_0
    • Args: dv
  • Metrics:
    • Name: Test WER
    • Type: wer
    • Value: 21.31
    • Name: Test CER
    • Type: cer
    • Value: 3.82

Training Procedure

Training Hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0003
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 50
• mixed_precision_training: Native AMP

Training Results

Framework Versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.2+cu102
• Datasets 1.18.3
• Tokenizers 0.11.0

📄 License

This model is licensed under the Apache - 2.0 license.