| --- |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - audio-classification |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: wav2vec2-present |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # wav2vec2-present |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the MatsRooth/prosodic_minimal dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1188 |
| - Accuracy: 0.9783 |
| |
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 0 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10.0 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.5859 | 1.0 | 2151 | 0.2952 | 0.9351 | |
| | 0.4323 | 2.0 | 4302 | 0.2043 | 0.9562 | |
| | 0.4494 | 3.0 | 6453 | 0.1691 | 0.9644 | |
| | 0.0351 | 4.0 | 8604 | 0.1447 | 0.9677 | |
| | 0.2679 | 5.0 | 10755 | 0.1372 | 0.9704 | |
| | 0.3252 | 6.0 | 12906 | 0.1281 | 0.9720 | |
| | 0.1319 | 7.0 | 15057 | 0.1087 | 0.9789 | |
| | 0.0646 | 8.0 | 17208 | 0.1371 | 0.9740 | |
| | 0.1035 | 9.0 | 19359 | 0.1219 | 0.9776 | |
| | 0.1148 | 10.0 | 21510 | 0.1188 | 0.9783 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.36.0.dev0 |
| - Pytorch 2.9.0+cu128 |
| - Datasets 2.13.1 |
| - Tokenizers 0.15.0 |
| |
