metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lyrics_detect
results: []
lyrics_detect
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: 0.6254
- Accuracy: 0.6
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 128
- 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 | 0.9956 | 7 | 0.6137 | 0.71 |
| 0.6734 | 1.9911 | 14 | 0.5822 | 0.71 |
| 0.6594 | 2.9867 | 21 | 0.6136 | 0.72 |
| 0.6594 | 3.9822 | 28 | 0.6369 | 0.72 |
| 0.6299 | 4.9778 | 35 | 0.6399 | 0.62 |
| 0.6204 | 5.9733 | 42 | 0.6647 | 0.56 |
| 0.6204 | 6.9689 | 49 | 0.6278 | 0.66 |
| 0.6156 | 7.9644 | 56 | 0.6578 | 0.67 |
| 0.6261 | 8.96 | 63 | 0.6107 | 0.65 |
| 0.5914 | 9.9556 | 70 | 0.6254 | 0.6 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1