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yingchuanong_582_team_summarization
yingchuanong/yingchuanong_582_team_summarization
yingchuanong_582_team_summarization is a machine learning model from yingchuanong. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Nov 25, 2023
- Updated
- Nov 25, 2023
- SHA
- 9e665da1
Base models
Datasets
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. -->
yingchuanong_582_team_summarization
This model is a fine-tuned version of t5-base on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.8978
- Rouge1: 0.2039
- Rouge2: 0.1189
- Rougel: 0.1798
- Rougelsum: 0.1798
- Gen Len: 19.0
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: 2e-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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 124 | 2.0176 | 0.2024 | 0.1102 | 0.175 | 0.1747 | 19.0 |
| No log | 2.0 | 248 | 1.9361 | 0.2033 | 0.1146 | 0.1773 | 0.1771 | 19.0 |
| No log | 3.0 | 372 | 1.9046 | 0.2038 | 0.1184 | 0.1792 | 0.1791 | 19.0 |
| No log | 4.0 | 496 | 1.8978 | 0.2039 | 0.1189 | 0.1798 | 0.1798 | 19.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Nov 25, 2023
- Updated
- Nov 25, 2023