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unlearn_samsum_t5-base_salun_6_42
jialicheng/unlearn_samsum_t5-base_salun_6_42
unlearn_samsum_t5-base_salun_6_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
- 4925a753
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: 1.4722
- Rouge1: 49.4406
- Rouge2: 24.8574
- Rougel: 41.2013
- Rougelsum: 45.7105
- Gen Len: 23.5312
- Test Rougel: 41.184
- Df Rougel: 41.4083
- Unlearn Overall Rougel: 0.3879
- Unlearn Time: 4481.0998
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 | 1.4989 | 48.7725 | 24.2794 | 41.2723 | 45.1087 | 24.2370 | 0.1147 | 0.1147 | -1 |
| No log | 2.0 | 920 | 1.4867 | 48.8999 | 24.0678 | 40.7948 | 45.0922 | 24.4479 | 0.3659 | 0.3659 | -1 |
| 1.9363 | 3.0 | 1380 | 1.4698 | 49.7387 | 25.0969 | 41.4734 | 46.0501 | 24.3424 | 0.3676 | 0.3676 | -1 |
| 1.9363 | 4.0 | 1840 | 1.4722 | 49.4406 | 24.8574 | 41.4083 | 45.7105 | 23.5312 | 0.3879 | 0.3879 | -1 |
| 1.8381 | 5.0 | 2300 | 1.4720 | 49.5858 | 24.826 | 41.2799 | 45.8108 | 24.1042 | 0.3862 | 0.3862 | -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