wav2vec2-xlsr-ne-en-finetuned
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7203
- Wer: 0.3468
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.4721 | 4.9958 | 1184 | 0.9764 | 0.6322 |
| 0.6 | 9.9916 | 2368 | 0.6466 | 0.4239 |
| 0.428 | 14.9873 | 3552 | 0.6566 | 0.4119 |
| 0.3331 | 19.9831 | 4736 | 0.6387 | 0.3603 |
| 0.2801 | 24.9789 | 5920 | 0.6760 | 0.3490 |
| 0.2493 | 29.9747 | 7104 | 0.7004 | 0.3415 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 2.21.0
- Tokenizers 0.22.1