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

sourceHugging Faceapache-2.0updated 6mo agoView on Hugging Face
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t5-small-finetuned-welsh-breton-kernewek

This model is a fine-tuned version of Jendersen/t5-small-finetuned-welsh-breton-kernewek on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7294
  • —Rouge1: 28.5495
  • —Rouge2: 16.4098
  • —Rougel: 27.3406
  • —Rougelsum: 27.424
  • —Bleu: 0.0206
  • —Chrf++: 16.7248
  • —F1: 44.5459
  • —Gen Len: 18.9918

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
  • —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: 5
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumBleuChrf++F1Gen Len
0.88441.058530.734628.442416.326727.237827.32390.020516.670744.473618.9933
0.88002.0117060.733028.501716.361827.293327.37940.020616.693844.504518.9931
0.87453.0175590.731628.550416.397627.345827.43070.020616.728644.538518.9924
0.86684.0234120.729428.537816.397927.330227.41560.020616.7244.535918.9935
0.86325.0292650.729428.549516.409827.340627.4240.020616.724844.545918.9918

Framework versions

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