wav2vec2-xlsr-afrispeech-clinical
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the afrispeech-200 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3815
- Model Preparation Time: 0.003
- Wer: 0.295
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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: 2239
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer |
|---|---|---|---|---|---|
| 1.3513 | 1.0 | 2240 | 0.5410 | 0.003 | 0.391 |
| 1.0632 | 2.0 | 4480 | 0.4555 | 0.003 | 0.351 |
| 0.9540 | 3.0 | 6720 | 0.4268 | 0.003 | 0.334 |
| 0.8654 | 4.0 | 8960 | 0.4057 | 0.003 | 0.328 |
| 0.7554 | 5.0 | 11200 | 0.3871 | 0.003 | 0.316 |
| 0.6892 | 6.0 | 13440 | 0.3936 | 0.003 | 0.312 |
| 0.6096 | 7.0 | 15680 | 0.3836 | 0.003 | 0.303 |
| 0.5333 | 8.0 | 17920 | 0.3859 | 0.003 | 0.298 |
| 0.5335 | 9.0 | 20160 | 0.3858 | 0.003 | 0.296 |
| 0.5038 | 10.0 | 22400 | 0.3815 | 0.003 | 0.295 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.12.0.dev20260307+cu128
- Datasets 2.19.0
- Tokenizers 0.22.2