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unlearn_samsum_t5-large_bad_teaching_4_42
jialicheng/unlearn_samsum_t5-large_bad_teaching_4_42
unlearn_samsum_t5-large_bad_teaching_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
- b174e34b
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: 25.5221
- Rouge1: 0.7014
- Rouge2: 0.24
- Rougel: 0.6949
- Rougelsum: 0.687
- Gen Len: 50.2338
- Test Rougel: 0.6825
- Df Rougel: 0.3893
- Unlearn Overall Rougel: 0.6466
- Unlearn Time: 11704.8634
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: 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 | 36 | 2.2391 | 36.3974 | 18.6279 | 32.3232 | 34.0401 | 18.3912 | -0.0900 | -0.0900 | -1 |
| No log | 2.0 | 72 | 25.5221 | 0.7014 | 0.24 | 0.3893 | 0.687 | 50.2338 | 0.6466 | 0.6466 | -1 |
| No log | 3.0 | 108 | 38.8377 | 0.0426 | 0.0 | 0.0275 | 0.0429 | 126.8438 | 0.5076 | 0.5076 | -1 |
| No log | 4.0 | 144 | 37.5754 | 0.0426 | 0.0 | 0.0275 | 0.0429 | 126.8438 | 0.5076 | 0.5076 | -1 |
| No log | 5.0 | 180 | 35.0377 | 0.0426 | 0.0 | 0.0275 | 0.0429 | 126.8438 | 0.5076 | 0.5076 | -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