wav2vec2-base-ks-padpt200
This model is a fine-tuned version of facebook/wav2vec2-base on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 1.6540
- Accuracy: 0.6037
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: 0.003
- train_batch_size: 256
- eval_batch_size: 256
- seed: 0
- gradient_accumulation_steps: 4
- total_train_batch_size: 1024
- 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 |
|---|---|---|---|---|
| 1.2728 | 1.0 | 50 | 1.6540 | 0.6037 |
| 0.8498 | 2.0 | 100 | 1.2559 | 0.6015 |
| 0.7563 | 3.0 | 150 | 1.4192 | 0.5035 |
| 0.701 | 4.0 | 200 | 1.3318 | 0.5641 |
| 0.6592 | 5.0 | 250 | 1.3236 | 0.5666 |
| 0.6404 | 6.0 | 300 | 1.3653 | 0.5469 |
| 0.6315 | 7.0 | 350 | 1.4052 | 0.5082 |
| 0.6306 | 8.0 | 400 | 1.2818 | 0.5590 |
| 0.6297 | 9.0 | 450 | 1.3096 | 0.5659 |
| 0.6056 | 10.0 | 500 | 1.3595 | 0.5368 |
Framework versions
- Transformers 4.22.0.dev0
- Pytorch 1.11.0+cu115
- Datasets 2.4.0
- Tokenizers 0.12.1