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kot5-summarization
Se-Jin/kot5-summarization
kot5-summarization is a machine learning model from Se-Jin. 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
- mt5
- Access
- Public
- Created
- Mar 4, 2025
- Updated
- Mar 4, 2025
- SHA
- b3a921f9
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. -->
kot5-summarization
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5538
- Rouge1: 21.7886
- Rouge2: 5.1324
- Rougel: 21.4998
- Rougelsum: 21.4897
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.9193 | 1.0 | 2000 | 1.5958 | 20.4915 | 4.7441 | 20.3127 | 20.2598 |
| 1.9504 | 2.0 | 4000 | 1.5538 | 21.7886 | 5.1324 | 21.4998 | 21.4897 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 4, 2025
- Updated
- Mar 4, 2025