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wav2vec2-base-vios-v1
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: 0.6352
- Wer: 0.5161
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: 32
- eval_batch_size: 16
- 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: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.7944 | 3.98 | 1000 | 1.7427 | 1.0387 |
| 0.7833 | 7.97 | 2000 | 0.4026 | 0.4364 |
| 0.4352 | 11.95 | 3000 | 0.3967 | 0.4042 |
| 0.4988 | 15.94 | 4000 | 0.5446 | 0.4632 |
| 0.7822 | 19.92 | 5000 | 0.6563 | 0.5491 |
| 0.8496 | 23.9 | 6000 | 0.5828 | 0.5045 |
| 0.8072 | 27.89 | 7000 | 0.6318 | 0.5109 |
| 0.8336 | 31.87 | 8000 | 0.6352 | 0.5161 |
| 0.8311 | 35.86 | 9000 | 0.6352 | 0.5161 |
| 0.839 | 39.84 | 10000 | 0.6352 | 0.5161 |
| 0.8297 | 43.82 | 11000 | 0.6352 | 0.5161 |
| 0.8288 | 47.81 | 12000 | 0.6352 | 0.5161 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
