wav2vec2-base-demo-google-colab
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1487
- Wer: 1.035
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.0267 | 5.0 | 500 | 1.6305 | 1.0 |
| 0.6998 | 10.0 | 1000 | 0.2891 | 1.09 |
| 0.2740 | 15.0 | 1500 | 0.1874 | 1.08 |
| 0.1942 | 20.0 | 2000 | 0.1526 | 1.035 |
| 0.1547 | 25.0 | 2500 | 0.1379 | 1.04 |
| 0.1293 | 30.0 | 3000 | 0.1487 | 1.035 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.11.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2