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finetuned_wav2vec2.0-base-on-IEMOCAP_1
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: 1.6629
- Accuracy: 0.6673
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 |
|---|---|---|---|---|
| 1.2016 | 1.0 | 111 | 1.1443 | 0.5 |
| 1.0629 | 2.0 | 222 | 0.9839 | 0.5830 |
| 0.8111 | 2.99 | 333 | 0.9295 | 0.6233 |
| 0.7455 | 4.0 | 445 | 0.9119 | 0.6570 |
| 0.4654 | 5.0 | 556 | 0.7440 | 0.7186 |
| 0.3648 | 6.0 | 667 | 0.8359 | 0.7007 |
| 0.307 | 6.99 | 778 | 0.7964 | 0.7377 |
| 0.2823 | 8.0 | 890 | 0.8882 | 0.7321 |
| 0.1869 | 9.0 | 1001 | 1.0550 | 0.7186 |
| 0.2022 | 10.0 | 1112 | 1.0110 | 0.7231 |
| 0.0522 | 10.99 | 1223 | 1.1135 | 0.7265 |
| 0.058 | 12.0 | 1335 | 1.1275 | 0.7489 |
| 0.0465 | 13.0 | 1446 | 1.1479 | 0.7545 |
| 0.0321 | 14.0 | 1557 | 1.1885 | 0.7534 |
| 0.0331 | 14.97 | 1665 | 1.2301 | 0.7511 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3
