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flan-t5-base-samsum
andreaparker/flan-t5-base-samsum
flan-t5-base-samsum is a machine learning model from andreaparker. 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
- Jan 31, 2023
- Updated
- Mar 24, 2023
- SHA
- ba2d60d9
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: 1.3772
- Rouge1: 47.4145
- Rouge2: 23.9579
- Rougel: 40.0508
- Rougelsum: 43.7144
- Gen Len: 17.3162
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 |
|---|---|---|---|---|---|---|---|---|
| 1.4264 | 1.0 | 1842 | 1.3829 | 46.4916 | 23.1227 | 39.444 | 42.9025 | 17.0977 |
| 1.3527 | 2.0 | 3684 | 1.3732 | 47.0694 | 23.4769 | 39.5942 | 43.2226 | 17.4554 |
| 1.2554 | 3.0 | 5526 | 1.3709 | 46.8801 | 23.3161 | 39.5423 | 43.1581 | 17.2027 |
| 1.2503 | 4.0 | 7368 | 1.3736 | 47.4138 | 23.7437 | 40.0016 | 43.6108 | 17.2198 |
| 1.1675 | 5.0 | 9210 | 1.3772 | 47.4145 | 23.9579 | 40.0508 | 43.7144 | 17.3162 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 31, 2023
- Updated
- Mar 24, 2023