iewav2vec2-finetuned-on-shEMO
This model is a fine-tuned version of minoosh/wav2vec2-base-finetuned-ie on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9088
- Accuracy: 0.82
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0779 | 1.0 | 75 | 0.9736 | 0.7133 |
| 0.7753 | 2.0 | 150 | 0.7869 | 0.7467 |
| 0.5784 | 3.0 | 225 | 0.6579 | 0.7867 |
| 0.5088 | 4.0 | 300 | 0.6393 | 0.7933 |
| 0.4454 | 5.0 | 375 | 0.6090 | 0.83 |
| 0.3197 | 6.0 | 450 | 0.7735 | 0.8067 |
| 0.235 | 7.0 | 525 | 0.6943 | 0.8333 |
| 0.1648 | 8.0 | 600 | 0.6958 | 0.8367 |
| 0.1016 | 9.0 | 675 | 0.7437 | 0.8333 |
| 0.0822 | 10.0 | 750 | 0.6435 | 0.8467 |
| 0.1434 | 11.0 | 825 | 0.6448 | 0.86 |
| 0.0748 | 12.0 | 900 | 0.7208 | 0.86 |
| 0.0403 | 13.0 | 975 | 0.6549 | 0.8733 |
| 0.0365 | 14.0 | 1050 | 0.7136 | 0.8667 |
| 0.0249 | 15.0 | 1125 | 0.6958 | 0.87 |
| 0.0462 | 16.0 | 1200 | 0.8340 | 0.8533 |
| 0.0061 | 17.0 | 1275 | 0.8503 | 0.84 |
| 0.0257 | 18.0 | 1350 | 0.9144 | 0.85 |
| 0.0262 | 19.0 | 1425 | 0.8671 | 0.8567 |
| 0.005 | 20.0 | 1500 | 0.8572 | 0.8567 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3