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unlearn_samsum_t5-small_random_label_4_42
jialicheng/unlearn_samsum_t5-small_random_label_4_42
unlearn_samsum_t5-small_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
- 885c1d33
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-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.9718
- Rouge1: 39.5535
- Rouge2: 17.4631
- Rougel: 33.6465
- Rougelsum: 36.7565
- Gen Len: 22.1125
- Test Rougel: 33.6375
- Df Rougel: 33.5734
- Unlearn Overall Rougel: 0.5321
- Unlearn Time: 910.6552
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 | 2.0248 | 38.9459 | 17.2481 | 33.5408 | 36.1357 | 21.4817 | 0.3060 | 0.3060 | -1 |
| No log | 2.0 | 922 | 1.9718 | 39.5535 | 17.4631 | 33.5734 | 36.7565 | 22.1125 | 0.5321 | 0.5321 | -1 |
| 2.8009 | 3.0 | 1383 | 1.9470 | 39.9413 | 17.7973 | 34.0641 | 37.1241 | 20.7824 | 0.4156 | 0.4156 | -1 |
| 2.8009 | 4.0 | 1844 | 1.9346 | 39.7529 | 17.6133 | 33.8431 | 37.0585 | 20.9853 | 0.4706 | 0.4706 | -1 |
| 2.6317 | 5.0 | 2305 | 1.9319 | 39.9807 | 17.7325 | 33.8786 | 37.1993 | 21.6932 | 0.5101 | 0.5101 | -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