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summarization-pt-2
apwic/summarization-pt-2
summarization-pt-2 is a machine learning model from apwic. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jul 5, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 5, 2024
- Updated
- Jul 5, 2024
- SHA
- c7a61aa3
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. -->
summarization-pt-2
This model is a fine-tuned version of LazarusNLP/IndoNanoT5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2686
- Rouge1: 0.4301
- Rouge2: 0.0
- Rougel: 0.4298
- Rougelsum: 0.4299
- Gen Len: 1.0
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: 0.001
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.0441 | 1.0 | 894 | 1.9891 | 0.6966 | 0.0 | 0.698 | 0.6962 | 1.0 |
| 2.4037 | 2.0 | 1788 | 1.6702 | 0.7078 | 0.0 | 0.7135 | 0.7146 | 1.0 |
| 2.1345 | 3.0 | 2682 | 1.4640 | 0.6592 | 0.0 | 0.66 | 0.6572 | 1.0 |
| 1.9436 | 4.0 | 3576 | 1.3521 | 0.6535 | 0.0 | 0.6545 | 0.6547 | 1.0 |
| 1.7989 | 5.0 | 4470 | 1.2686 | 0.6818 | 0.0 | 0.6864 | 0.6834 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- License
- apache-2.0
- Languages
- id
- Created
- Jul 5, 2024
- Updated
- Jul 5, 2024