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t5-summarization-t3
TChien0512/t5-summarization-t3
t5-summarization-t3 is a machine learning model from TChien0512. 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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.json2.4 MB · 55%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 29, 2025
- Updated
- Aug 7, 2025
- SHA
- 68744a21
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-summarization-t3
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.8149
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.1615 | 1.0 | 250 | 4.8149 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Jul 29, 2025
- Updated
- Aug 7, 2025