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unlearn-cl_samsum_t5-large_random_label_6_42
jialicheng/unlearn-cl_samsum_t5-large_random_label_6_42
unlearn-cl_samsum_t5-large_random_label_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
- c05e7105
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: 0.6211
- Rouge1: 44.1132
- Rouge2: 20.0123
- Rougel: 33.6068
- Rougelsum: 38.9485
- Gen Len: 24.43
- Test Rougel: 33.5725
- Df Rougel: 32.9563
- Unlearn Overall Rougel: 0.8081
- Unlearn Time: 5344.1197
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 | 0.6211 | 44.1132 | 20.0123 | 32.9563 | 38.9485 | 24.43 | 0.8081 | 0.8081 | -1 |
| No log | 2.0 | 920 | 0.6184 | 35.7634 | 15.3376 | 27.4577 | 31.8109 | 21.5575 | 0.7403 | 0.7403 | -1 |
| 0.6107 | 2.5 | 1150 | 0.6187 | 37.0041 | 15.978 | 28.3877 | 32.9938 | 22.025 | 0.7477 | 0.7477 | -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