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unlearn_samsum_t5-base_random_label_4_42
jialicheng/unlearn_samsum_t5-base_random_label_4_42
unlearn_samsum_t5-base_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
- f8e7ed2e
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-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4581
- Rouge1: 49.7002
- Rouge2: 25.389
- Rougel: 41.5256
- Rougelsum: 46.1176
- Gen Len: 23.9156
- Test Rougel: 41.4764
- Df Rougel: 41.6558
- Unlearn Overall Rougel: 0.4103
- Unlearn Time: 2098.8050
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: 8
- 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 | 461 | 1.4818 | 48.9248 | 24.5221 | 42.0397 | 45.2492 | 23.5880 | -0.1631 | -0.1631 | -1 |
| No log | 2.0 | 922 | 1.4703 | 49.3631 | 24.68 | 42.0483 | 45.5475 | 25.4535 | -0.1475 | -0.1475 | -1 |
| 1.8739 | 3.0 | 1383 | 1.4593 | 49.5829 | 25.1916 | 41.7802 | 45.8602 | 24.1100 | 0.3212 | 0.3212 | -1 |
| 1.8739 | 4.0 | 1844 | 1.4581 | 49.7002 | 25.389 | 41.6558 | 46.1176 | 23.9156 | 0.4103 | 0.4103 | -1 |
| 1.7611 | 5.0 | 2305 | 1.4528 | 49.6984 | 25.2958 | 41.9786 | 45.9853 | 24.0660 | 0.2808 | 0.2808 | -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