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t5-small-samsum
rizvi-rahil786/t5-small-samsum
t5-small-samsum is a machine learning model from rizvi-rahil786. 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
- Dec 26, 2023
- Updated
- Dec 26, 2023
- SHA
- 45c2307d
Base models
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. -->
t5-small-samsum
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7108
- Rouge1: 42.8796
- Rouge2: 19.1218
- Rougel: 35.393
- Rougelsum: 39.3635
- Gen Len: 16.8901
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 |
|---|---|---|---|---|---|---|---|---|
| 2.0185 | 1.0 | 1842 | 1.7918 | 40.569 | 17.0622 | 33.4617 | 37.1907 | 16.8938 |
| 1.8881 | 2.0 | 3684 | 1.7479 | 41.9209 | 18.5938 | 34.8969 | 38.5288 | 16.6435 |
| 1.8222 | 3.0 | 5526 | 1.7269 | 42.2611 | 19.1114 | 35.3077 | 39.0834 | 17.0696 |
| 1.8011 | 4.0 | 7368 | 1.7136 | 42.8138 | 19.2426 | 35.6329 | 39.4298 | 16.9158 |
| 1.7812 | 5.0 | 9210 | 1.7108 | 42.8796 | 19.1218 | 35.393 | 39.3635 | 16.8901 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 26, 2023
- Updated
- Dec 26, 2023