metadata
license: apache-2.0
base_model: facebook/wav2vec2-large
tags:
- audio-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-large-ft-fake-detection
results: []
wav2vec2-large-ft-fake-detection
This model is a fine-tuned version of facebook/wav2vec2-large on the alexandreacff/kaggle-fake-detection dataset. It achieves the following results on the evaluation set:
- Loss: 0.6694
- Accuracy: 0.7103
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: 16
- seed: 0
- 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: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6274 | 0.9851 | 33 | 0.6254 | 0.6206 |
| 0.4961 | 2.0 | 67 | 0.9477 | 0.6159 |
| 0.3391 | 2.9851 | 100 | 0.9273 | 0.6411 |
| 0.2857 | 4.0 | 134 | 0.6611 | 0.6617 |
| 0.3186 | 4.9851 | 167 | 0.7654 | 0.6215 |
| 0.2483 | 6.0 | 201 | 0.9395 | 0.6224 |
| 0.239 | 6.9851 | 234 | 0.8367 | 0.6542 |
| 0.2049 | 8.0 | 268 | 0.7709 | 0.6860 |
| 0.224 | 8.9851 | 301 | 0.6694 | 0.7103 |
| 0.2279 | 9.8507 | 330 | 0.7867 | 0.6822 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.19.1
- Tokenizers 0.19.1