wav2vec2-large-xlsr-sw_ndizi_782_without_NF4
This model is a fine-tuned version of smutuvi/wav2vec2-large-xlsr-sw on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0702
- Wer: 0.4635
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.3466 | 5.97 | 400 | 1.0027 | 0.4830 |
| 0.7355 | 11.94 | 800 | 1.1488 | 0.4873 |
| 0.4853 | 17.91 | 1200 | 1.4337 | 0.4678 |
| 0.3254 | 23.88 | 1600 | 1.5478 | 0.4895 |
| 0.2251 | 29.85 | 2000 | 1.7495 | 0.4736 |
| 0.1674 | 35.82 | 2400 | 1.8199 | 0.4751 |
| 0.1258 | 41.79 | 2800 | 2.0479 | 0.4606 |
| 0.1096 | 47.76 | 3200 | 2.0702 | 0.4635 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0