t5-small-finetuned-breton-plus-cy-kw-4

• Loss: 1.2100
• Rouge1: 29.1335
• Rouge2: 14.3637
• Rougel: 27.0356
• Rougelsum: 27.1532
• Bleu: 0.0219
• Chrf++: 15.5355
• F1: 38.2823
• Gen Len: 18.3072

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• 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
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 5.13.1
• Pytorch 2.11.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2