Downloads · 30 days
4
18% of all-time downloads
unlearn_samsum_t5-base_salun_8_42
jialicheng/unlearn_samsum_t5-base_salun_8_42
unlearn_samsum_t5-base_salun_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. --
All-time downloads
22
Public
Repo size
4 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.npy3.2 MB · 49%
At a glance
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Nov 8, 2025
- Updated
- Nov 8, 2025
- SHA
- 165b81ed
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: 1.4901
- Rouge1: 49.5476
- Rouge2: 24.7493
- Rougel: 41.0919
- Rougelsum: 45.8012
- Gen Len: 24.1732
- Test Rougel: 41.0548
- Df Rougel: 42.0937
- Unlearn Overall Rougel: -0.0194
- Unlearn Time: 4698.0502
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: 64
- 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 | 1.4927 | 48.7926 | 24.1267 | 41.6972 | 45.063 | 22.6732 | -0.0532 | -0.0532 | -1 |
| No log | 2.0 | 920 | 1.4901 | 49.5476 | 24.7493 | 42.0937 | 45.8012 | 24.1732 | -0.0194 | -0.0194 | -1 |
| 1.9781 | 3.0 | 1380 | 1.4806 | 49.2612 | 24.5866 | 41.9899 | 45.4343 | 23.9427 | -0.0304 | -0.0304 | -1 |
| 1.9781 | 4.0 | 1840 | 1.4745 | 49.4623 | 24.6205 | 42.434 | 45.5781 | 23.8815 | -0.2274 | -0.2274 | -1 |
| 1.8807 | 5.0 | 2300 | 1.4719 | 48.9957 | 24.3369 | 42.4089 | 45.2936 | 23.7513 | -0.3002 | -0.3002 | -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