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: 0.7168
- Accuracy: 0.3182
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 0.6919 | 0.4545 |
| No log | 2.0 | 3 | 0.6987 | 0.3636 |
| No log | 3.0 | 5 | 0.7079 | 0.3182 |
| No log | 4.0 | 6 | 0.7125 | 0.3182 |
| No log | 5.0 | 7 | 0.7169 | 0.3182 |
| No log | 6.0 | 9 | 0.7165 | 0.3182 |
| 0.3424 | 6.67 | 10 | 0.7168 | 0.3182 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1