metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- automatic-speech-recognition
- Leonel-Maia/fulfulde-no0
- generated_from_trainer
metrics:
- wer
model-index:
- name: Wav2vec2-fula-no0
results: []
Wav2vec2-fula-no0
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the LEONEL-MAIA/FULFULDE-NO0 - DEFAULT dataset. It achieves the following results on the evaluation set:
- Loss: 0.4407
- Wer: 0.5583
- Cer: 0.1549
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: 2
- total_train_batch_size: 16
- 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: 1000
- num_epochs: 60.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.5615 | 0.1970 | 500 | 0.6706 | 0.7329 | 0.2082 |
| 0.3606 | 0.3939 | 1000 | 0.5461 | 0.6352 | 0.1786 |
| 0.3103 | 0.5909 | 1500 | 0.4960 | 0.6026 | 0.1695 |
| 0.228 | 0.7879 | 2000 | 0.5087 | 0.5917 | 0.1635 |
| 0.2502 | 0.9848 | 2500 | 0.4720 | 0.5835 | 0.1648 |
| 0.2841 | 1.1816 | 3000 | 0.4652 | 0.6019 | 0.1701 |
| 0.2603 | 1.3786 | 3500 | 0.4726 | 0.5685 | 0.1588 |
| 0.2538 | 1.5755 | 4000 | 0.4538 | 0.5667 | 0.1573 |
| 0.2215 | 1.7725 | 4500 | 0.4649 | 0.5615 | 0.1581 |
| 0.2329 | 1.9695 | 5000 | 0.4407 | 0.5583 | 0.1549 |
| 0.2111 | 2.1662 | 5500 | 0.4677 | 0.5529 | 0.1542 |
| 0.2018 | 2.3632 | 6000 | 0.4574 | 0.5507 | 0.1531 |
| 0.2421 | 2.5602 | 6500 | 0.4417 | 0.5500 | 0.1528 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1