wav2vec-best-CREMA-sentiment-analysis-best3
This model is a fine-tuned version of facebook/wav2vec2-base on Supreeta03/CREMA-audioData. It achieves the following results on the evaluation set:
- top2 Accuracy: 0.7824
- Loss: 1.1563
- Accuracy: 0.5601
Model description
Fine tuned from [facebook/wav2vec2-base] for performing sentiment analysis on audio data.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 | Top2 Accuracy | Validation Loss | Accuracy |
|---|---|---|---|---|---|
| 1.7555 | 0.99 | 37 | 0.5281 | 1.7048 | 0.2905 |
| 1.5612 | 1.99 | 74 | 0.5819 | 1.5406 | 0.3493 |
| 1.4333 | 2.98 | 111 | 0.6373 | 1.4668 | 0.3778 |
| 1.3933 | 4.0 | 149 | 0.6809 | 1.3798 | 0.4450 |
| 1.3418 | 4.99 | 186 | 0.7045 | 1.3120 | 0.4719 |
| 1.2238 | 5.99 | 223 | 0.7263 | 1.2718 | 0.4979 |
| 1.1896 | 6.98 | 260 | 0.7313 | 1.2430 | 0.5113 |
| 1.1501 | 8.0 | 298 | 0.7296 | 1.2631 | 0.5088 |
| 1.1052 | 8.99 | 335 | 0.7506 | 1.2462 | 0.5097 |
| 1.068 | 9.99 | 372 | 0.7641 | 1.1822 | 0.5399 |
| 1.0594 | 10.98 | 409 | 0.7590 | 1.1700 | 0.5575 |
| 0.9519 | 12.0 | 447 | 0.7733 | 1.1465 | 0.5516 |
| 0.9513 | 12.99 | 484 | 0.7918 | 1.1428 | 0.5676 |
| 0.9324 | 13.99 | 521 | 0.7666 | 1.1721 | 0.5634 |
| 0.9173 | 14.98 | 558 | 0.7825 | 1.1494 | 0.5584 |
| 0.8781 | 16.0 | 596 | 0.7918 | 1.1468 | 0.5718 |
| 0.8627 | 16.99 | 633 | 0.7775 | 1.1554 | 0.5575 |
| 0.83 | 17.99 | 670 | 0.7817 | 1.1438 | 0.5718 |
| 0.8305 | 18.98 | 707 | 0.7935 | 1.1323 | 0.5760 |
| 0.8314 | 19.87 | 740 | 0.7851 | 1.1341 | 0.5726 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 23
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Supreeta03/wav2vec2-base-sentiment-analysis-CREMA
Base model
facebook/wav2vec2-base