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T5-Base_GNAD

Summarization Transformers PyTorch German t5 text2text-generation generated_from_trainer AutoTrain Compatible text-generation-inference

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T5-Base_GNAD

This model is a fine-tuned version of Einmalumdiewelt/T5-Base_GNAD on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.1025
Rouge1: 27.5357
Rouge2: 8.5623
Rougel: 19.1508
Rougelsum: 23.9029
Gen Len: 52.7253

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: 8
eval_batch_size: 8
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

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Hosted inference API

This model can be loaded on the Inference API on-demand.

Spaces using Einmalumdiewelt/T5-Base_GNAD 2

Evaluation results

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