wav2vec2-base-lang-id
This model is a fine-tuned version of facebook/wav2vec2-base on the anton-l/common_language dataset. It achieves the following results on the evaluation set:
- Loss: 0.9836
- Accuracy: 0.7945
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 4
- seed: 0
- 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: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.9568 | 1.0 | 173 | 3.2866 | 0.1146 |
| 1.9243 | 2.0 | 346 | 2.1241 | 0.3840 |
| 1.2923 | 3.0 | 519 | 1.5498 | 0.5489 |
| 0.8659 | 4.0 | 692 | 1.4953 | 0.6126 |
| 0.5539 | 5.0 | 865 | 1.2431 | 0.6926 |
| 0.4101 | 6.0 | 1038 | 1.1443 | 0.7232 |
| 0.2945 | 7.0 | 1211 | 1.0870 | 0.7544 |
| 0.1552 | 8.0 | 1384 | 1.1080 | 0.7661 |
| 0.0968 | 9.0 | 1557 | 0.9836 | 0.7945 |
| 0.0623 | 10.0 | 1730 | 1.0252 | 0.7993 |
Framework versions
- Transformers 4.11.0.dev0
- Pytorch 1.9.1+cu111
- Datasets 1.12.1
- Tokenizers 0.10.3