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indosum-unipelt-0
apwic/indosum-unipelt-0
indosum-unipelt-0 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 22, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 22, 2024
- Updated
- Jul 22, 2024
- SHA
- f5304105
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. -->
indosum-unipelt-0
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: 0.9410
- Rouge1: 8.5377
- Rouge2: 2.4978
- Rougel: 7.8119
- Rougelsum: 8.1597
- Gen Len: 127.0
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 |
|---|---|---|---|---|---|---|---|---|
| 2.4307 | 1.0 | 892 | 1.2644 | 5.9923 | 1.617 | 5.7169 | 5.8449 | 127.0 |
| 1.5043 | 2.0 | 1784 | 0.9410 | 8.2013 | 1.997 | 7.4285 | 7.8145 | 127.0 |
| 1.2064 | 3.0 | 2676 | 0.7986 | 6.9869 | 1.3612 | 6.3365 | 6.7002 | 127.0 |
| 1.0352 | 4.0 | 3568 | 0.7307 | 5.9136 | 0.995 | 5.4713 | 5.7309 | 127.0 |
| 0.9265 | 5.0 | 4460 | 0.6944 | 5.7938 | 0.9075 | 5.2885 | 5.5754 | 127.0 |
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 22, 2024
- Updated
- Jul 22, 2024