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unlearn-cl_samsum_t5-base_random_label_10_42
jialicheng/unlearn-cl_samsum_t5-base_random_label_10_42
unlearn-cl_samsum_t5-base_random_label_10_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
- d6e711a5
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: 0.6441
- Rouge1: 49.3103
- Rouge2: 24.6793
- Rougel: 41.2527
- Rougelsum: 45.7682
- Gen Len: 23.66
- Test Rougel: 41.21
- Df Rougel: 41.9234
- Unlearn Overall Rougel: 0.1433
- Unlearn Time: 1049.9393
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 | 0.6506 | 48.9757 | 24.5015 | 41.5831 | 45.3843 | 22.8087 | 0.1047 | 0.1047 | -1 |
| No log | 2.0 | 920 | 0.6439 | 49.4021 | 24.7391 | 41.9506 | 45.667 | 23.5012 | 0.1269 | 0.1269 | -1 |
| 0.7386 | 2.5 | 1150 | 0.6441 | 49.3103 | 24.6793 | 41.9234 | 45.7682 | 23.66 | 0.1433 | 0.1433 | -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