oza75/bm-byt5-text-normalization-9
08
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bm-byt5-text-normalization-9
This model is a fine-tuned version of oza75/byt5-bambara-pretrained on the oza75/bm-text-normalization and the djelia/bm-text-normalization datasets.
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
- trainbatchsize: 8
- evalbatchsize: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2
