Xls R 300m Pt

🚀 XLS-R 300M PT Model

This is an XLS-R 300M model fine - tuned on the Portuguese dataset of Mozilla Foundation's Common Voice 8.0. It is designed for automatic speech recognition tasks and has achieved competitive results on multiple datasets.

🚀 Quick Start

This model is a fine - tuned version of [facebook/wav2vec2 - xls - r - 300m](https://huggingface.co/facebook/wav2vec2 - xls - r - 300m) on the MOZILLA - FOUNDATION/COMMON_VOICE_8_0 - PT dataset. It achieves the following results on the evaluation set:

• Loss: 0.2290
• Wer: 0.2382

✨ Features

• Multilingual Adaptability: Based on the XLS - R architecture, it can potentially adapt to multiple languages.
• Fine - Tuned for Portuguese: Specifically optimized for Portuguese speech recognition using the Common Voice 8.0 dataset.
• Competitive Metrics: Achieved good WER and CER scores on both Common Voice 8.0 and Robust Speech Event datasets.

📚 Documentation

Model Index

Training Procedure

Training Hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0002
• 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: 1500
• num_epochs: 15.0
• mixed_precision_training: Native AMP

Training Results

Framework Versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.2+cu102
• Datasets 1.18.2.dev0
• Tokenizers 0.11.0

📄 License

This model is released under the Apache 2.0 license.