training
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the openslr, S4E16_Podcast dataset. It achieves the following results on the evaluation set:
- Loss: 0.6439
- Wer: 0.2868
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.5853 | 1.2139 | 500 | 3.5375 | 1.0 |
| 1.2399 | 2.4277 | 1000 | 0.9809 | 0.7112 |
| 0.873 | 3.6416 | 1500 | 0.6867 | 0.5484 |
| 0.6348 | 4.8554 | 2000 | 0.5878 | 0.4702 |
| 0.5296 | 6.0680 | 2500 | 0.5660 | 0.4503 |
| 0.3954 | 7.2819 | 3000 | 0.5330 | 0.3988 |
| 0.3495 | 8.4957 | 3500 | 0.5123 | 0.3782 |
| 0.3118 | 9.7096 | 4000 | 0.5323 | 0.3663 |
| 0.2783 | 10.9235 | 4500 | 0.5348 | 0.3542 |
| 0.2375 | 12.1361 | 5000 | 0.5576 | 0.3394 |
| 0.2023 | 13.3499 | 5500 | 0.5566 | 0.3415 |
| 0.2053 | 14.5638 | 6000 | 0.5710 | 0.3295 |
| 0.175 | 15.7776 | 6500 | 0.5684 | 0.3216 |
| 0.1643 | 16.9915 | 7000 | 0.5954 | 0.3080 |
| 0.1427 | 18.2041 | 7500 | 0.6128 | 0.3062 |
| 0.1432 | 19.4180 | 8000 | 0.6331 | 0.3075 |
| 0.1201 | 20.6318 | 8500 | 0.6385 | 0.3015 |
| 0.1101 | 21.8457 | 9000 | 0.6397 | 0.2911 |
| 0.1124 | 23.0583 | 9500 | 0.6459 | 0.2905 |
| 0.1123 | 24.2722 | 10000 | 0.6439 | 0.2868 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.1