finetuned_wav2vec2.0-base-on-IEMOCAP_4
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: 1.6468
- Accuracy: 0.6586
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 |
|---|---|---|---|---|
| 1.1816 | 1.0 | 112 | 1.1338 | 0.5177 |
| 1.1233 | 2.0 | 225 | 1.0683 | 0.5355 |
| 0.9672 | 3.0 | 337 | 0.9371 | 0.6031 |
| 0.6925 | 4.0 | 450 | 0.8086 | 0.6818 |
| 0.6162 | 5.0 | 562 | 0.7848 | 0.7051 |
| 0.4226 | 6.0 | 675 | 0.7377 | 0.7428 |
| 0.3047 | 7.0 | 787 | 0.7981 | 0.7251 |
| 0.2385 | 8.0 | 900 | 0.8558 | 0.7428 |
| 0.1954 | 9.0 | 1012 | 0.8869 | 0.7373 |
| 0.1454 | 10.0 | 1125 | 0.9470 | 0.7428 |
| 0.116 | 11.0 | 1237 | 1.0448 | 0.7306 |
| 0.1017 | 12.0 | 1350 | 1.1298 | 0.7295 |
| 0.1365 | 13.0 | 1462 | 1.1667 | 0.7450 |
| 0.0995 | 14.0 | 1575 | 1.1252 | 0.7428 |
| 0.0655 | 14.93 | 1680 | 1.1501 | 0.7395 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3