loso_M09
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0755
- Wer: 1.7915
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 9.2201 | 0.93 | 500 | 3.5139 | 1.0 |
| 2.6858 | 1.87 | 1000 | 1.8070 | 2.5085 |
| 1.1357 | 2.8 | 1500 | 0.3576 | 1.5298 |
| 0.3223 | 3.73 | 2000 | 0.1361 | 1.7745 |
| 0.1612 | 4.66 | 2500 | 0.0984 | 1.8298 |
| 0.0891 | 5.6 | 3000 | 0.0733 | 1.7745 |
| 0.064 | 6.53 | 3500 | 0.0755 | 1.7915 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2