metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: laryngitis
results: []
laryngitis
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: 0.7828
- Accuracy: 0.5455
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: 1e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4888 | 1.0 | 6 | 0.7395 | 0.4091 |
| 0.4714 | 2.0 | 12 | 0.7492 | 0.4545 |
| 0.4298 | 3.0 | 18 | 0.7774 | 0.5 |
| 0.3732 | 4.0 | 24 | 0.7864 | 0.5 |
| 0.352 | 5.0 | 30 | 0.7903 | 0.5 |
| 0.3147 | 6.0 | 36 | 0.8435 | 0.5 |
| 0.2969 | 7.0 | 42 | 0.7719 | 0.5 |
| 0.2902 | 8.0 | 48 | 0.7035 | 0.5909 |
| 0.238 | 9.0 | 54 | 0.7546 | 0.5909 |
| 0.2654 | 10.0 | 60 | 0.7828 | 0.5455 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1