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summarization_model
seungbo7747/summarization_model
summarization_model is a machine learning model from seungbo7747. 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 cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- cc-by-4.0
- Model type
- t5
- Access
- Public
- Created
- Apr 29, 2025
- Updated
- May 2, 2025
- SHA
- 5571cdb9
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_model
This model is a fine-tuned version of paust/pko-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6012
- Rouge1: 0.0661
- Rouge2: 0.0169
- Rougel: 0.0660
- Rougelsum: 0.0660
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- t5
- License
- cc-by-4.0
- Created
- Apr 29, 2025
- Updated
- May 2, 2025