t5-small-german-ONNX

t5-small-german (ONNX)

This is an ONNX version of Shahm/t5-small-german. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js

See the pipeline documentation for summarization: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.SummarizationPipeline

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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