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unlearn_samsum_t5-large_random_label_4_42
jialicheng/unlearn_samsum_t5-large_random_label_4_42
unlearn_samsum_t5-large_random_label_4_42 is a machine learning model from jialicheng. 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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At a glance
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Nov 8, 2025
- Updated
- Nov 8, 2025
- SHA
- 42f2517c
Base models
Datasets
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. -->
samsum_42
This model is a fine-tuned version of google/t5-v1_1-large on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4231
- Rouge1: 45.5787
- Rouge2: 21.4922
- Rougel: 34.8718
- Rougelsum: 40.1303
- Gen Len: 25.605
- Test Rougel: 34.8513
- Df Rougel: 32.9461
- Unlearn Overall Rougel: 1.4526
- Unlearn Time: 9919.0918
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: 32
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Overall Rougel | Unlearn Overall Rougel | Time |
|---|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 460 | 1.4359 | 26.4495 | 10.3387 | 20.9864 | 23.9025 | 29.0888 | 0.8178 | 0.8178 | -1 |
| No log | 2.0 | 920 | 1.4280 | 47.308 | 22.3764 | 35.0702 | 41.7244 | 26.9925 | 0.9423 | 0.9423 | -1 |
| 1.6563 | 3.0 | 1380 | 1.4190 | 46.6039 | 21.9197 | 34.3133 | 41.0934 | 25.6125 | 1.0103 | 1.0103 | -1 |
| 1.6563 | 4.0 | 1840 | 1.4204 | 46.3201 | 21.7557 | 34.085 | 40.7174 | 25.98 | 1.0260 | 1.0260 | -1 |
| 1.4907 | 5.0 | 2300 | 1.4231 | 45.5787 | 21.4922 | 32.9461 | 40.1303 | 25.605 | 1.4526 | 1.4526 | -1 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Type
- t5
- License
- apache-2.0
- Created
- Nov 8, 2025
- Updated
- Nov 8, 2025