Jendersen/t5-small-finetuned-welsh-breton-kernewek-32

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t5-small-finetuned-welsh-breton-kernewek-32

This model is a fine-tuned version of Jendersen/t5-small-finetuned-welsh-breton-kernewek-32 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.8753
• —Rouge1: 28.2027
• —Rouge2: 15.3717
• —Rougel: 26.7491
• —Rougelsum: 26.8143
• —Bleu: 0.0206
• —Chrf++: 16.2368
• —F1: 42.9772
• —Gen Len: 18.9905

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: 3e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.0.0
• —Pytorch 2.10.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.2