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unlearn_samsum_t5-small_salun_2_42
jialicheng/unlearn_samsum_t5-small_salun_2_42
unlearn_samsum_t5-small_salun_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
- 71d26d11
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: 1.9486
- Rouge1: 40.2512
- Rouge2: 17.7828
- Rougel: 34.0408
- Rougelsum: 37.2943
- Gen Len: 20.6467
- Test Rougel: 33.9859
- Df Rougel: 34.5972
- Unlearn Overall Rougel: 0.1944
- Unlearn Time: 623.6600
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: 32
- 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 | 2.0371 | 39.1496 | 17.0909 | 34.1592 | 36.278 | 21.1614 | -0.0916 | -0.0916 | -1 |
| No log | 2.0 | 922 | 1.9883 | 39.5937 | 17.3648 | 34.8892 | 36.7314 | 21.9817 | -0.1427 | -0.1427 | -1 |
| 2.7595 | 3.0 | 1383 | 1.9549 | 40.1289 | 17.7805 | 35.2034 | 37.203 | 21.2298 | -0.0847 | -0.0847 | -1 |
| 2.7595 | 4.0 | 1844 | 1.9486 | 40.2512 | 17.7828 | 34.5972 | 37.2943 | 20.6467 | 0.1944 | 0.1944 | -1 |
| 2.6014 | 5.0 | 2305 | 1.9453 | 40.2383 | 17.7478 | 34.881 | 37.2764 | 21.4939 | -0.0038 | -0.0038 | -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