| | --- |
| | license: apache-2.0 |
| | base_model: facebook/wav2vec2-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: laryngitis-iau |
| | 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. --> |
| |
|
| | # laryngitis-iau |
| |
|
| | This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4987 |
| | - Accuracy: 0.8182 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.6993 | 1.0 | 6 | 0.6959 | 0.4545 | |
| | | 0.6752 | 2.0 | 12 | 0.7107 | 0.4545 | |
| | | 0.6102 | 3.0 | 18 | 0.6545 | 0.6364 | |
| | | 0.5892 | 4.0 | 24 | 0.7614 | 0.4545 | |
| | | 0.5662 | 5.0 | 30 | 0.6371 | 0.6364 | |
| | | 0.52 | 6.0 | 36 | 0.6439 | 0.6364 | |
| | | 0.466 | 7.0 | 42 | 0.6470 | 0.6818 | |
| | | 0.4362 | 8.0 | 48 | 0.6353 | 0.6364 | |
| | | 0.4044 | 9.0 | 54 | 0.5818 | 0.7273 | |
| | | 0.3732 | 10.0 | 60 | 0.5644 | 0.7273 | |
| | | 0.3394 | 11.0 | 66 | 0.5402 | 0.7727 | |
| | | 0.3181 | 12.0 | 72 | 0.5995 | 0.7273 | |
| | | 0.3092 | 13.0 | 78 | 0.5288 | 0.7727 | |
| | | 0.2645 | 14.0 | 84 | 0.5135 | 0.7727 | |
| | | 0.246 | 15.0 | 90 | 0.4987 | 0.8182 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.37.2 |
| | - Pytorch 2.2.0 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.15.1 |
| | |
