metadata
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-large-xlsr-quality-daps
results: []
wav2vec2-large-xlsr-quality-daps
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0289
- Accuracy: 0.9956
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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- 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 |
|---|---|---|---|---|
| 0.6868 | 0.9630 | 13 | 0.6218 | 0.9595 |
| 0.6219 | 2.0 | 27 | 0.3568 | 0.9947 |
| 0.2823 | 2.9630 | 40 | 0.1729 | 0.9947 |
| 0.1789 | 4.0 | 54 | 0.0902 | 0.9947 |
| 0.1154 | 4.9630 | 67 | 0.0586 | 0.9952 |
| 0.063 | 6.0 | 81 | 0.0421 | 0.9960 |
| 0.0412 | 6.9630 | 94 | 0.0357 | 0.9960 |
| 0.0412 | 8.0 | 108 | 0.0395 | 0.9934 |
| 0.0376 | 8.9630 | 121 | 0.0312 | 0.9956 |
| 0.0248 | 10.0 | 135 | 0.0296 | 0.9960 |
| 0.0384 | 10.9630 | 148 | 0.0298 | 0.9952 |
| 0.0267 | 12.0 | 162 | 0.0319 | 0.9943 |
| 0.0244 | 12.9630 | 175 | 0.0307 | 0.9947 |
| 0.0197 | 14.0 | 189 | 0.0289 | 0.9956 |
| 0.023 | 14.4444 | 195 | 0.0289 | 0.9956 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.12.0
- Tokenizers 0.19.1