metadata
language:
- de
tags:
- generated_from_trainer
- summarization
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 Einmalumdiewelt/10k_MT5_small_sum-de_GNAD on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4403
- Rouge1: 24.9179
- Rouge2: 7.8694
- Rougel: 18.048
- Rougelsum: 21.9371
- Gen Len: 48.2693
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