wav2vec2-large-xls-r-300m-dementianet
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3430
- Accuracy: 0.4062
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 22
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3845 | 3.33 | 40 | 1.3556 | 0.3125 |
| 1.3659 | 6.67 | 80 | 1.3602 | 0.3125 |
| 1.3619 | 10.0 | 120 | 1.3569 | 0.3125 |
| 1.3575 | 13.33 | 160 | 1.3509 | 0.3125 |
| 1.3356 | 16.67 | 200 | 1.3599 | 0.3125 |
| 1.3166 | 20.0 | 240 | 1.3430 | 0.4062 |
Framework versions
- Transformers 4.14.1
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3