wav2vec2-large-xls-r-300m-hsb-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 3.2283
- Wer: 0.9818
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 17.2414 | 5.56 | 50 | 7.6790 | 1.0 |
| 5.5913 | 11.11 | 100 | 4.1167 | 1.0 |
| 3.8478 | 16.67 | 150 | 3.3965 | 1.0 |
| 3.3442 | 22.22 | 200 | 3.2828 | 1.0 |
| 3.2219 | 27.78 | 250 | 3.2283 | 0.9818 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1