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unlearn_samsum_t5-small_random_label_2_42
jialicheng/unlearn_samsum_t5-small_random_label_2_42
unlearn_samsum_t5-small_random_label_2_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
- 7726ae5c
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: 1.9726
- Rouge1: 40.0251
- Rouge2: 17.7254
- Rougel: 33.9435
- Rougelsum: 37.1831
- Gen Len: 22.3093
- Test Rougel: 33.946
- Df Rougel: 33.6923
- Unlearn Overall Rougel: 0.6268
- Unlearn Time: 812.7108
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 | 2.0284 | 39.3699 | 17.1873 | 33.4516 | 36.3572 | 20.8631 | 0.4534 | 0.4534 | -1 |
| No log | 2.0 | 922 | 1.9726 | 40.0251 | 17.7254 | 33.6923 | 37.1831 | 22.3093 | 0.6268 | 0.6268 | -1 |
| 2.7477 | 3.0 | 1383 | 1.9491 | 39.9408 | 17.5717 | 34.4086 | 36.9921 | 20.4303 | 0.1473 | 0.1473 | -1 |
| 2.7477 | 4.0 | 1844 | 1.9328 | 40.3844 | 17.9575 | 34.9192 | 37.4666 | 21.0526 | 0.1302 | 0.1302 | -1 |
| 2.5775 | 5.0 | 2305 | 1.9274 | 40.155 | 17.6768 | 34.5366 | 37.2503 | 21.1993 | 0.2200 | 0.2200 | -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