wav2vec2-finetuned-on-shEMO_speech
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: 0.6265
- Accuracy: 0.8367
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: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3533 | 1.0 | 75 | 1.2104 | 0.6167 |
| 1.0603 | 2.0 | 150 | 0.8963 | 0.7167 |
| 0.7558 | 3.0 | 225 | 0.6868 | 0.8233 |
| 0.5619 | 4.0 | 300 | 0.6482 | 0.8333 |
| 0.5089 | 5.0 | 375 | 0.5713 | 0.8467 |
| 0.333 | 6.0 | 450 | 0.6046 | 0.83 |
| 0.2968 | 7.0 | 525 | 0.5426 | 0.8633 |
| 0.2957 | 8.0 | 600 | 0.5003 | 0.87 |
| 0.1713 | 9.0 | 675 | 0.5812 | 0.87 |
| 0.1744 | 10.0 | 750 | 0.6211 | 0.8533 |
| 0.0821 | 11.0 | 825 | 0.6015 | 0.87 |
| 0.0961 | 12.0 | 900 | 0.5906 | 0.87 |
| 0.0969 | 13.0 | 975 | 0.6339 | 0.8633 |
| 0.1125 | 14.0 | 1050 | 0.6203 | 0.86 |
| 0.0496 | 15.0 | 1125 | 0.6204 | 0.8667 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1