wav2vec-base-finetuned-IEMOCAP
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: 1.3561
- Accuracy: 0.5215
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.2504 | 1.0 | 402 | 1.6170 | 0.3678 |
| 3.0387 | 2.0 | 804 | 1.4937 | 0.4424 |
| 2.6308 | 3.0 | 1206 | 1.3831 | 0.4972 |
| 2.2831 | 4.0 | 1608 | 1.3492 | 0.5109 |
| 2.0272 | 5.0 | 2010 | 1.3561 | 0.5215 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2