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: 0.6266
- 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: 3e-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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7031 | 1.0 | 4 | 0.6858 | 0.5385 |
| 0.631 | 2.0 | 8 | 0.6973 | 0.3846 |
| 0.7272 | 3.0 | 12 | 0.7615 | 0.3846 |
| 0.5345 | 4.0 | 16 | 0.7592 | 0.4615 |
| 0.7417 | 5.0 | 20 | 0.7341 | 0.4615 |
| 0.6045 | 6.0 | 24 | 0.7095 | 0.4615 |
| 0.5344 | 7.0 | 28 | 0.7080 | 0.3846 |
| 0.4422 | 8.0 | 32 | 0.7393 | 0.4615 |
| 0.4156 | 9.0 | 36 | 0.7389 | 0.4615 |
| 0.3876 | 10.0 | 40 | 0.7068 | 0.5385 |
| 0.3761 | 11.0 | 44 | 0.6788 | 0.5385 |
| 0.433 | 12.0 | 48 | 0.6340 | 0.5385 |
| 0.3416 | 13.0 | 52 | 0.6109 | 0.5385 |
| 0.3447 | 14.0 | 56 | 0.6167 | 0.5385 |
| 0.3328 | 15.0 | 60 | 0.6266 | 0.5385 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.12.0
- Tokenizers 0.15.1