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--- |
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language: |
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- de |
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tags: |
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- generated_from_trainer |
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- summarization |
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metrics: |
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- rouge |
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model-index: |
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- name: T5-Base_GNAD |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# T5-Base_GNAD |
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This model is a fine-tuned version of [Einmalumdiewelt/T5-Base_GNAD](https://huggingface.co/Einmalumdiewelt/T5-Base_GNAD) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1025 |
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- Rouge1: 27.5357 |
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- Rouge2: 8.5623 |
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- Rougel: 19.1508 |
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- Rougelsum: 23.9029 |
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- Gen Len: 52.7253 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.22.0.dev0 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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