Fatoumataa/mt5-bambara-resumer-final

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mt5-bambara-resumer-final

This model is a fine-tuned version of Fatoumataa/mt5-bambara-phase0-pro on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 3.3116
• —Rouge1: 0.509
• —Rouge2: 0.2569
• —Rougel: 0.354
• —Rougelsum: 0.3542

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: 1e-05
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
• —lrschedulertype: constant
• —num_epochs: 8
• —labelsmoothingfactor: 0.1

Training results

Framework versions

• —Transformers 5.0.0
• —Pytorch 2.9.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.2