Downloads · 30 days
4
12% of all-time downloads
unlearn-cl_samsum_t5-base_random_label_8_42
jialicheng/unlearn-cl_samsum_t5-base_random_label_8_42
unlearn-cl_samsum_t5-base_random_label_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
33
Public
Repo size
15.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.npy14.8 MB · 82%
At a glance
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Nov 8, 2025
- Updated
- Nov 8, 2025
- SHA
- a22f2849
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: 0.6479
- Rouge1: 48.9666
- Rouge2: 24.4042
- Rougel: 40.6217
- Rougelsum: 45.265
- Gen Len: 24.5837
- Test Rougel: 40.6508
- Df Rougel: 41.9934
- Unlearn Overall Rougel: -0.1713
- Unlearn Time: 998.9618
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: 2.5
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 | 0.6479 | 48.9666 | 24.4042 | 41.9934 | 45.265 | 24.5837 | -0.1713 | -0.1713 | -1 |
| No log | 2.0 | 920 | 0.6472 | 48.9825 | 24.6251 | 42.2338 | 45.4772 | 23.2175 | -0.2277 | -0.2277 | -1 |
| 0.72 | 2.5 | 1150 | 0.6459 | 49.1498 | 24.8067 | 42.2887 | 45.5537 | 24.305 | -0.2532 | -0.2532 | -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