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unlearn-cl_samsum_t5-large_random_label_8_42
jialicheng/unlearn-cl_samsum_t5-large_random_label_8_42
unlearn-cl_samsum_t5-large_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. --
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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
- b4bac55d
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: 0.6186
- Rouge1: 47.3208
- Rouge2: 22.1294
- Rougel: 35.7793
- Rougelsum: 41.5164
- Gen Len: 25.4062
- Test Rougel: 35.7792
- Df Rougel: 34.8613
- Unlearn Overall Rougel: 0.9590
- Unlearn Time: 5980.9542
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 | 0.6197 | 47.1802 | 21.2627 | 35.4305 | 41.1525 | 25.3625 | 0.3868 | 0.3868 | -1 |
| No log | 2.0 | 920 | 0.6186 | 47.3208 | 22.1294 | 34.8613 | 41.5164 | 25.4062 | 0.9590 | 0.9590 | -1 |
| 0.6267 | 2.5 | 1150 | 0.6190 | 47.4151 | 22.0871 | 35.072 | 41.5603 | 26.1 | 0.8197 | 0.8197 | -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