Wav2vec2 Base Timit Demo Colab1

🚀 wav2vec2-base-timit-demo-colab1

This model is a fine - tuned version of facebook/wav2vec2-base, which aims to provide better performance in relevant speech - related tasks. It achieves specific results on the evaluation set, demonstrating its effectiveness.

🚀 Quick Start

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

✨ Features

• It is a fine - tuned version of facebook/wav2vec2-base, leveraging pre - trained knowledge.
• Achieves Loss: 3.1918 and Wer: 1.0 on the evaluation set.

📚 Documentation

Model description

This model is a fine - tuned version of facebook/wav2vec2-base on the None dataset. More information about the model's internal structure and unique features is yet to be provided.

Intended uses & limitations

More information about the intended uses and limitations of this model is required.

Training and evaluation data

Details about the training and evaluation data are yet to be provided.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.005
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.11.3
• Pytorch 1.11.0+cu113
• Datasets 1.18.3
• Tokenizers 0.10.3

📄 License

This model is released under the Apache 2.0 license.