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flan-t5-base-samsum
Seba213/flan-t5-base-samsum
flan-t5-base-samsum is a machine learning model from Seba213. 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
- Jul 3, 2024
- Updated
- Jul 6, 2024
- SHA
- d2ddcf01
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. -->
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: 1.3743
- Rouge1: 48.562
- Rouge2: 25.0327
- Rougel: 39.1235
- Rougelsum: 45.0049
- Gen Len: 36.8362
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4116 | 1.0 | 1842 | 1.3851 | 48.539 | 25.203 | 39.2261 | 45.201 | 36.8753 |
| 1.3387 | 2.0 | 3684 | 1.3743 | 48.562 | 25.0327 | 39.1235 | 45.0049 | 36.8362 |
| 1.3189 | 3.0 | 5526 | 1.3748 | 48.7279 | 25.0598 | 39.1658 | 45.1284 | 36.9438 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 3, 2024
- Updated
- Jul 6, 2024