<!-- 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. -->
voip_classification
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.0099
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6603 | 0.99 | 41 | nan | 0.0099 |
| 0.0 | 1.99 | 82 | nan | 0.0099 |
| 0.0 | 2.98 | 123 | nan | 0.0099 |
| 0.0 | 4.0 | 165 | nan | 0.0099 |
| 0.0 | 4.99 | 206 | nan | 0.0099 |
| 0.0 | 5.99 | 247 | nan | 0.0099 |
| 0.0 | 6.98 | 288 | nan | 0.0099 |
| 0.0 | 8.0 | 330 | nan | 0.0099 |
| 0.0 | 8.99 | 371 | nan | 0.0099 |
| 0.0 | 9.94 | 410 | nan | 0.0099 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
