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t5-small-indosum-3
mrizalf7/t5-small-indosum-3
t5-small-indosum-3 is a machine learning model from mrizalf7. 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
- Aug 2, 2023
- Updated
- Aug 6, 2023
- SHA
- 4f1e7aa7
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-indosum-3
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4340
- Rouge1: 15.1875
- Rouge2: 11.795
- Rougel: 14.9384
- Rougelsum: 15.0579
- Gen Len: 19.0
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: 2e-05
- train_batch_size: 40
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.5356 | 1.0 | 1784 | 0.4647 | 15.1653 | 11.7743 | 14.9193 | 15.0383 | 19.0 |
| 0.4791 | 2.0 | 3568 | 0.4401 | 15.175 | 11.789 | 14.9281 | 15.0459 | 19.0 |
| 0.4698 | 3.0 | 5352 | 0.4340 | 15.1875 | 11.795 | 14.9384 | 15.0579 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Aug 2, 2023
- Updated
- Aug 6, 2023