README.md

metadata

tags:
  - automatic-speech-recognition
  - phongdtd/VinDataVLSP
  - generated_from_trainer
model-index:
  - name: wavLM-VLSP-vi
    results: []

wavLM-VLSP-vi

This model is a fine-tuned version of microsoft/wavlm-base-plus on the PHONGDTD/VINDATAVLSP - NA dataset. It achieves the following results on the evaluation set:

• Loss: 3.4500
• Wer: 0.9999

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: 0.003
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 2
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 15.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.10.3