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unlearn_samsum_t5-small_random_label_8_42
jialicheng/unlearn_samsum_t5-small_random_label_8_42
unlearn_samsum_t5-small_random_label_8_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
- b287beba
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: 1.9397
- Rouge1: 40.2765
- Rouge2: 18.1205
- Rougel: 34.1798
- Rougelsum: 37.498
- Gen Len: 20.4963
- Test Rougel: 34.1458
- Df Rougel: 34.7107
- Unlearn Overall Rougel: 0.2175
- Unlearn Time: 1012.5715
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 | 2.0223 | 38.6748 | 16.7497 | 33.8202 | 35.8573 | 20.0342 | 0.0009 | 0.0009 | -1 |
| No log | 2.0 | 922 | 1.9781 | 39.3692 | 17.239 | 34.1064 | 36.5018 | 20.9046 | 0.1741 | 0.1741 | -1 |
| 2.9011 | 3.0 | 1383 | 1.9558 | 39.6224 | 17.4859 | 34.4482 | 36.7633 | 20.1663 | 0.1108 | 0.1108 | -1 |
| 2.9011 | 4.0 | 1844 | 1.9403 | 40.1602 | 17.8773 | 34.6573 | 37.3929 | 21.0660 | 0.1942 | 0.1942 | -1 |
| 2.72 | 5.0 | 2305 | 1.9397 | 40.2765 | 18.1205 | 34.7107 | 37.498 | 20.4963 | 0.2175 | 0.2175 | -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