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unlearn_samsum_t5-base_random_label_10_42
jialicheng/unlearn_samsum_t5-base_random_label_10_42
unlearn_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
- 37e69b8c
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: 1.4532
- Rouge1: 49.4258
- Rouge2: 24.9422
- Rougel: 41.3893
- Rougelsum: 45.7684
- Gen Len: 24.4144
- Test Rougel: 41.3616
- Df Rougel: 41.8285
- Unlearn Overall Rougel: 0.2666
- Unlearn Time: 2352.5118
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: 8
- 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 | 461 | 1.4904 | 48.9155 | 24.023 | 41.4158 | 45.1503 | 23.1687 | 0.0694 | 0.0694 | -1 |
| No log | 2.0 | 922 | 1.4703 | 48.7428 | 24.4022 | 41.5444 | 45.0211 | 22.0819 | 0.0943 | 0.0943 | -1 |
| 2.019 | 3.0 | 1383 | 1.4597 | 49.5416 | 24.7897 | 42.0063 | 45.7751 | 24.1455 | 0.0801 | 0.0801 | -1 |
| 2.019 | 4.0 | 1844 | 1.4532 | 49.4258 | 24.9422 | 41.8285 | 45.7684 | 24.4144 | 0.2666 | 0.2666 | -1 |
| 1.8934 | 5.0 | 2305 | 1.4524 | 49.577 | 25.0647 | 41.9953 | 45.8463 | 23.9218 | 0.2506 | 0.2506 | -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