MT5_small_sum-de_GNAD

This model is a fine-tuned version of Einmalumdiewelt/MT5_small_sum-de_GNAD on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.4236
• Rouge1: 26.0749
• Rouge2: 8.4015
• Rougel: 18.7914
• Rougelsum: 22.9903
• Gen Len: 48.9027

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: 5e-05
• train_batch_size: 10
• eval_batch_size: 10
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10.0

Training results

Framework versions

• Transformers 4.22.0.dev0
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1