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unlearn_samsum_t5-xl_random_label_4_42
jialicheng/unlearn_samsum_t5-xl_random_label_4_42
unlearn_samsum_t5-xl_random_label_4_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
- 3a97395e
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-xl on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.1526
- Rouge1: 55.6074
- Rouge2: 30.8159
- Rougel: 46.3847
- Rougelsum: 51.2369
- Gen Len: 26.6775
- Test Rougel: 46.3254
- Df Rougel: 48.0583
- Unlearn Overall Rougel: -0.3665
- Unlearn Time: 13341.5422
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: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 | 1.1255 | 55.3841 | 30.8525 | 47.9686 | 50.9651 | 25.2175 | -0.3544 | -0.3544 | -1 |
| No log | 2.0 | 920 | 1.1402 | 55.7927 | 31.5183 | 47.983 | 51.649 | 26.4513 | -0.2113 | -0.2113 | -1 |
| 1.099 | 2.5 | 1150 | 1.1526 | 55.6074 | 30.8159 | 48.0583 | 51.2369 | 26.6775 | -0.3665 | -0.3665 | -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