metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mydata-iau
results: []
mydata-iau
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: 0.6711
- Accuracy: 0.5385
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.697 | 1.0 | 7 | 0.6964 | 0.3846 |
| 0.667 | 2.0 | 14 | 0.6996 | 0.3846 |
| 0.6334 | 3.0 | 21 | 0.7151 | 0.3846 |
| 0.6045 | 4.0 | 28 | 0.7357 | 0.3846 |
| 0.6263 | 5.0 | 35 | 0.7421 | 0.3846 |
| 0.549 | 6.0 | 42 | 0.7133 | 0.3846 |
| 0.5676 | 7.0 | 49 | 0.7031 | 0.3846 |
| 0.5625 | 8.0 | 56 | 0.7056 | 0.3846 |
| 0.5074 | 9.0 | 63 | 0.6912 | 0.4615 |
| 0.5372 | 10.0 | 70 | 0.6904 | 0.4615 |
| 0.5103 | 11.0 | 77 | 0.6856 | 0.4615 |
| 0.47 | 12.0 | 84 | 0.6895 | 0.4615 |
| 0.4951 | 13.0 | 91 | 0.6855 | 0.4615 |
| 0.4505 | 14.0 | 98 | 0.6744 | 0.5385 |
| 0.4395 | 15.0 | 105 | 0.6711 | 0.5385 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.12.0
- Tokenizers 0.15.1