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unlearn_samsum_t5-large_random_label_10_42
jialicheng/unlearn_samsum_t5-large_random_label_10_42
unlearn_samsum_t5-large_random_label_10_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
- 64489f4d
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: 1.4262
- Rouge1: 46.0892
- Rouge2: 21.6755
- Rougel: 35.25
- Rougelsum: 40.8811
- Gen Len: 25.9387
- Test Rougel: 35.2445
- Df Rougel: 33.8197
- Unlearn Overall Rougel: 1.2124
- Unlearn Time: 11527.5154
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 | 1.4406 | 20.8471 | 6.4753 | 17.7887 | 19.1718 | 16.6013 | 0.4042 | 0.4042 | -1 |
| No log | 2.0 | 920 | 1.4287 | 46.4871 | 21.8216 | 34.1703 | 41.0198 | 25.1375 | 1.0584 | 1.0584 | -1 |
| 1.782 | 3.0 | 1380 | 1.4262 | 46.0892 | 21.6755 | 33.8197 | 40.8811 | 25.9387 | 1.2124 | 1.2124 | -1 |
| 1.782 | 4.0 | 1840 | 1.4242 | 44.8077 | 20.8842 | 32.7812 | 39.5618 | 24.9237 | 1.1929 | 1.1929 | -1 |
| 1.6065 | 5.0 | 2300 | 1.4275 | 45.5051 | 21.2597 | 33.499 | 40.1749 | 26.1062 | 1.0904 | 1.0904 | -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