<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
xls-r-300m-nyanja-model_v1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the NYANJASPEECH - NYA dataset. It achieves the following results on the evaluation set:
- Loss: 0.2772
- Wer: 0.9074
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: 0.001
- 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: 2000
- num_epochs: 5.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.7585 | 1.58 | 500 | 0.3574 | 0.9679 |
| 0.4736 | 3.16 | 1000 | 0.2772 | 0.9074 |
| 0.4776 | 4.75 | 1500 | 0.2853 | 0.9578 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
