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unlearn_samsum_t5-base_salun_2_42
jialicheng/unlearn_samsum_t5-base_salun_2_42
unlearn_samsum_t5-base_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
- 61946fe9
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-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4604
- Rouge1: 49.7278
- Rouge2: 25.218
- Rougel: 41.5011
- Rougelsum: 45.8754
- Gen Len: 24.1042
- Test Rougel: 41.4686
- Df Rougel: 42.5366
- Unlearn Overall Rougel: -0.0340
- Unlearn Time: 3176.2771
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 | 460 | 1.4833 | 49.3407 | 24.6019 | 42.6682 | 45.3389 | 23.3382 | -0.3831 | -0.3831 | -1 |
| No log | 2.0 | 920 | 1.4752 | 49.3485 | 24.6668 | 43.2596 | 45.5003 | 23.9216 | -0.6428 | -0.6428 | -1 |
| 1.8304 | 3.0 | 1380 | 1.4623 | 49.4331 | 25.0928 | 42.7932 | 45.4628 | 23.7279 | -0.3018 | -0.3018 | -1 |
| 1.8304 | 4.0 | 1840 | 1.4638 | 49.6255 | 25.0168 | 42.6013 | 45.7687 | 24.3174 | -0.1592 | -0.1592 | -1 |
| 1.7441 | 5.0 | 2300 | 1.4604 | 49.7278 | 25.218 | 42.5366 | 45.8754 | 24.1042 | -0.0340 | -0.0340 | -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