truecaser-lin-sna

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truecaser-lin-sna

This model is a fine-tuned version of Davlan/afro-xlmr-large-114L on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0276
• Accuracy: 0.9932
• Recall Lower: 0.9984
• Prec Lower: 0.9944
• Recall Cap: 0.9374
• Prec Cap: 0.9788
• Recall Upper: 0.0
• Prec Upper: 0.0
• Cap Recall: 0.9319

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 5.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.57.6
• Pytorch 2.13.0+cu130
• Datasets 3.6.0
• Tokenizers 0.22.2