metadata

language:
  - de
license: cc-by-nc-sa-4.0
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: 10k_MT5_small_sum-de_GNAD
    results: []

10k_MT5_small_sum-de_GNAD

This model is a fine-tuned version of deutsche-telekom/mt5-small-sum-de-en-v1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.5066
Rouge1: 23.6554
Rouge2: 7.5413
Rougel: 17.4259
Rougelsum: 20.6655
Gen Len: 42.7873

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
training_steps: 10

Training results

Framework versions

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