iewav2vec2-finetuned-on-shEMO_speech
This model is a fine-tuned version of minoosh/wav2vec2-base-finetuned-ie on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8165
- 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0124 | 1.0 | 75 | 0.9200 | 0.7033 |
| 0.7081 | 2.0 | 150 | 0.6291 | 0.8167 |
| 0.5352 | 3.0 | 225 | 0.5825 | 0.83 |
| 0.3974 | 4.0 | 300 | 0.6690 | 0.8 |
| 0.2653 | 5.0 | 375 | 0.5241 | 0.8567 |
| 0.1613 | 6.0 | 450 | 0.5175 | 0.86 |
| 0.1707 | 7.0 | 525 | 0.6105 | 0.85 |
| 0.1788 | 8.0 | 600 | 0.6798 | 0.8433 |
| 0.1055 | 9.0 | 675 | 0.6840 | 0.85 |
| 0.107 | 10.0 | 750 | 0.6162 | 0.87 |
| 0.0429 | 11.0 | 825 | 0.6344 | 0.8733 |
| 0.0358 | 12.0 | 900 | 0.7944 | 0.85 |
| 0.028 | 13.0 | 975 | 0.7262 | 0.8667 |
| 0.0106 | 14.0 | 1050 | 0.6811 | 0.87 |
| 0.0118 | 15.0 | 1125 | 0.7056 | 0.8667 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1