Downloads · 30 days
2
5% of all-time downloads
unlearn_samsum_t5-large_random_label_2_42
jialicheng/unlearn_samsum_t5-large_random_label_2_42
unlearn_samsum_t5-large_random_label_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. --
All-time downloads
40
Public
Repo size
2.2 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json2.5 MB · 53%
At a glance
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Nov 8, 2025
- Updated
- Nov 8, 2025
- SHA
- f143db51
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-large on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4295
- Rouge1: 34.1246
- Rouge2: 14.4492
- Rougel: 26.748
- Rougelsum: 30.8434
- Gen Len: 21.7669
- Test Rougel: 26.7832
- Df Rougel: 26.1513
- Unlearn Overall Rougel: 0.8160
- Unlearn Time: 7731.5996
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: 8
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.711 | 1.0 | 1841 | 1.4302 | 46.7688 | 21.3775 | 34.4464 | 40.7632 | 24.7409 | 0.7986 | 0.7986 | -1 |
| 1.475 | 2.0 | 3682 | 1.4153 | 47.875 | 22.6147 | 35.7774 | 42.2144 | 26.6562 | 0.7569 | 0.7569 | -1 |
| 1.3711 | 3.0 | 5523 | 1.4243 | 38.713 | 16.4273 | 29.2076 | 34.1371 | 22.6680 | 0.6933 | 0.6933 | -1 |
| 1.2871 | 4.0 | 7364 | 1.4295 | 34.1246 | 14.4492 | 26.1513 | 30.8434 | 21.7669 | 0.8160 | 0.8160 | -1 |
| 1.2394 | 5.0 | 9205 | 1.4360 | 34.9237 | 14.66 | 26.8274 | 31.2954 | 22.4648 | 0.6522 | 0.6522 | -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