<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
wav2vec2-tiengviet1
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7302
- Wer: 1.0118
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 300
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 14.8304 | 39.67 | 40 | 4.3168 | 1.0 |
| 5.5892 | 79.67 | 80 | 3.5454 | 1.0 |
| 5.2113 | 119.67 | 120 | 3.4845 | 1.0 |
| 4.9995 | 159.67 | 160 | 3.5783 | 1.0 |
| 4.7958 | 199.67 | 200 | 3.1850 | 1.0 |
| 4.4776 | 239.67 | 240 | 2.9864 | 1.0 |
| 4.2546 | 279.67 | 280 | 2.7302 | 1.0118 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
