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unlearn-cl_samsum_t5-base_bad_teaching_8_42
jialicheng/unlearn-cl_samsum_t5-base_bad_teaching_8_42
unlearn-cl_samsum_t5-base_bad_teaching_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
- 5c6caf5c
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: 2.8153
- Rouge1: 22.6032
- Rouge2: 6.8541
- Rougel: 18.2224
- Rougelsum: 20.0039
- Gen Len: 46.3762
- Test Rougel: 18.2417
- Df Rougel: 18.0579
- Unlearn Overall Rougel: 0.5919
- Unlearn Time: 527.9076
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 | 73 | 2.8153 | 22.6032 | 6.8541 | 18.0579 | 20.0039 | 46.3762 | 0.5919 | 0.5919 | -1 |
| No log | 2.0 | 146 | 5.4344 | 8.2408 | 0.6247 | 7.6835 | 7.4178 | 120.035 | 0.1763 | 0.1763 | -1 |
| No log | 2.51 | 183 | 5.9030 | 8.2405 | 0.5197 | 7.1656 | 7.3543 | 121.36 | 0.4520 | 0.4520 | -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