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flan-t5-base-samsum
yingzwang/flan-t5-base-samsum
flan-t5-base-samsum is a machine learning model from yingzwang. 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
- Apr 12, 2023
- Updated
- Apr 12, 2023
- SHA
- ecd081ba
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. -->
flan-t5-base-samsum
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.3721
- Rouge1: 47.5
- Rouge2: 23.9237
- Rougel: 40.0646
- Rougelsum: 43.6387
- Gen Len: 17.2405
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4398 | 1.0 | 1842 | 1.3823 | 47.2415 | 23.7419 | 39.5142 | 43.4177 | 17.0354 |
| 1.3564 | 2.0 | 3684 | 1.3747 | 46.833 | 23.308 | 39.2838 | 42.9821 | 17.3077 |
| 1.2776 | 3.0 | 5526 | 1.3721 | 47.5 | 23.9237 | 40.0646 | 43.6387 | 17.2405 |
| 1.2345 | 4.0 | 7368 | 1.3744 | 47.5599 | 23.9714 | 40.06 | 43.8107 | 17.2454 |
| 1.194 | 5.0 | 9210 | 1.3760 | 47.7868 | 24.0949 | 40.2021 | 43.789 | 17.2466 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 12, 2023
- Updated
- Apr 12, 2023