README.md

metadata

license: cc-by-nc-4.0
base_model: nguyenvulebinh/wav2vec2-base-vietnamese-250h
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: CS337_finetuning_wav2vecbase_vietnamese_soict23slu_nguyenlevubinh250h
    results: []

CS337_finetuning_wav2vecbase_vietnamese_soict23slu_nguyenlevubinh250h

This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vietnamese-250h on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9390
• Wer: 0.5418

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: 0.0001
• 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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.748	1.18	500	0.9390	0.5418

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 1.18.3
• Tokenizers 0.15.0