bm-byt5-base-gec-3

This model is a fine-tuned version of oza75/byt5-base-bambara-pretrained-3 on an unknown dataset.

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
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 2
• label_smoothing_factor: 0.1

Training results

Framework versions

• Transformers 4.57.6
• Pytorch 2.9.1+cu128
• Datasets 3.6.0
• Tokenizers 0.22.2