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unlearn_samsum_t5-small_random_label_10_42
jialicheng/unlearn_samsum_t5-small_random_label_10_42
unlearn_samsum_t5-small_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
- 12ab9824
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: 1.9516
- Rouge1: 40.2147
- Rouge2: 17.9635
- Rougel: 34.1287
- Rougelsum: 37.3694
- Gen Len: 21.5648
- Test Rougel: 34.0904
- Df Rougel: 34.311
- Unlearn Overall Rougel: 0.3897
- Unlearn Time: 208.1742
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 | Rougel | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougelsum | Unlearn Overall Rougel | Overall Rougel | Time |
|---|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 461 | 32.6827 | 18.7335 | 2.0240 | 38.4237 | 16.8873 | 35.6564 | 0.1403 | 0.1403 | -1 |
| No log | 2.0 | 922 | 33.6443 | 20.8643 | 1.9751 | 39.6569 | 17.4973 | 36.7824 | 0.2372 | 0.2372 | -1 |
| 2.9467 | 3.0 | 1383 | 34.0904 | 21.5648 | 1.9516 | 40.2147 | 17.9635 | 37.3694 | 0.3897 | 0.3897 | -1 |
| 2.9467 | 4.0 | 1844 | 34.3169 | 20.9315 | 1.9410 | 40.5306 | 18.0501 | 37.557 | 0.3297 | 0.3297 | -1 |
| 2.7294 | 5.0 | 2305 | 1.9369 | 40.5018 | 17.9761 | 34.5748 | 37.5502 | 21.0147 | 0.3582 | 0.3582 | -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