metadata
license: apache-2.0
tags:
- automatic-speech-recognition
- BembaSpeech
- generated_from_trainer
metrics:
- wer
model-index:
- name: xls-r-300m-bemba-fullset
results: []
xls-r-300m-bemba-fullset
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the BEMBASPEECH - BEM dataset. It achieves the following results on the evaluation set:
- Loss: 0.2534
- Wer: 0.8470
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: 2000
- num_epochs: 2.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
2.268 | 0.67 | 500 | 1.0355 | 0.9929 |
0.7365 | 1.35 | 1000 | 0.2534 | 0.8470 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2