<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
wav2vec2-burak-new-300-v2-8
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2841
- Wer: 0.2120
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 151
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.0739 | 9.43 | 500 | 3.1506 | 1.0 |
| 1.6652 | 18.87 | 1000 | 0.3396 | 0.4136 |
| 0.4505 | 28.3 | 1500 | 0.2632 | 0.3138 |
| 0.3115 | 37.74 | 2000 | 0.2536 | 0.2849 |
| 0.2421 | 47.17 | 2500 | 0.2674 | 0.2588 |
| 0.203 | 56.6 | 3000 | 0.2552 | 0.2471 |
| 0.181 | 66.04 | 3500 | 0.2636 | 0.2595 |
| 0.1581 | 75.47 | 4000 | 0.2527 | 0.2416 |
| 0.1453 | 84.91 | 4500 | 0.2773 | 0.2257 |
| 0.1305 | 94.34 | 5000 | 0.2825 | 0.2257 |
| 0.1244 | 103.77 | 5500 | 0.2754 | 0.2312 |
| 0.1127 | 113.21 | 6000 | 0.2772 | 0.2223 |
| 0.1094 | 122.64 | 6500 | 0.2720 | 0.2223 |
| 0.1033 | 132.08 | 7000 | 0.2863 | 0.2202 |
| 0.099 | 141.51 | 7500 | 0.2853 | 0.2140 |
| 0.0972 | 150.94 | 8000 | 0.2841 | 0.2120 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
