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mt5-base-wikinewssum-german
airKlizz/mt5-base-wikinewssum-german
mt5-base-wikinewssum-german is a summarization model from airKlizz. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 25, 2021
- SHA
- fb4cd103
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mt5-base-wikinewssum-german
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5135
- Rouge1: 8.0553
- Rouge2: 2.7846
- Rougel: 6.2182
- Rougelsum: 7.6203
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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 723 | 2.7112 | 7.3681 | 2.3679 | 5.5705 | 6.7588 |
| No log | 2.0 | 1446 | 2.6178 | 7.8539 | 2.7551 | 6.2081 | 7.4139 |
| No log | 3.0 | 2169 | 2.5756 | 7.8401 | 2.6075 | 6.0135 | 7.4303 |
| No log | 4.0 | 2892 | 2.5465 | 8.1097 | 2.8525 | 6.268 | 7.6482 |
| 3.4589 | 5.0 | 3615 | 2.5315 | 8.0192 | 2.7848 | 6.2484 | 7.5859 |
| 3.4589 | 6.0 | 4338 | 2.5222 | 8.1063 | 2.8986 | 6.337 | 7.6564 |
| 3.4589 | 7.0 | 5061 | 2.5136 | 8.0565 | 2.8707 | 6.2732 | 7.6105 |
| 3.4589 | 8.0 | 5784 | 2.5135 | 8.0553 | 2.7846 | 6.2182 | 7.6203 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.10.1
- Datasets 1.16.1
- Tokenizers 0.10.3
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Dec 25, 2021