Edit model card

t5-seven-epoch-base-german

This model is a fine-tuned version of t5-small on the mlsum de dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5491
  • Rouge1: 42.3787
  • Rouge2: 32.0253
  • Rougel: 38.9529
  • Rougelsum: 40.4544
  • Gen Len: 47.7873

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: 6
  • eval_batch_size: 6
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 7.0

Training results

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.0+cu111
  • Datasets 1.17.0
  • Tokenizers 0.10.3
Downloads last month
1,559
Safetensors
Model size
60.5M params
Tensor type
F32
·
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train Shahm/t5-small-german

Space using Shahm/t5-small-german 1

Evaluation results