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
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Model tree for QuangTuan/CS337_finetuning_wav2vecbase_vietnamese_soict23slu_nguyenlevubinh250h
Base model
nguyenvulebinh/wav2vec2-base-vietnamese-250h