wav2vec2-xls-r-300m-100e-lg-asr
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3678
- Wer: 1.0
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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_ratio: 0.1
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 14.9517 | 6.6667 | 20 | 5.1569 | 1.0 |
| 4.5284 | 13.3333 | 40 | 3.6413 | 1.0 |
| 3.571 | 20.0 | 60 | 3.6094 | 1.0 |
| 3.2872 | 26.6667 | 80 | 3.5732 | 1.0 |
| 3.1311 | 33.3333 | 100 | 3.4355 | 1.0 |
| 2.9955 | 40.0 | 120 | 3.3223 | 1.0 |
| 2.9259 | 46.6667 | 140 | 3.3184 | 1.0 |
| 2.8683 | 53.3333 | 160 | 3.2794 | 1.0 |
| 2.7513 | 60.0 | 180 | 3.3916 | 1.0 |
| 2.5434 | 66.6667 | 200 | 3.3479 | 1.0 |
| 2.2682 | 73.3333 | 220 | 3.3794 | 1.0 |
| 2.0945 | 80.0 | 240 | 3.3626 | 1.0 |
| 1.9457 | 86.6667 | 260 | 3.3331 | 1.0 |
| 1.8294 | 93.3333 | 280 | 3.3506 | 1.0 |
| 1.7562 | 100.0 | 300 | 3.3678 | 1.0 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1