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unlearn-cl_samsum_t5-base_random_label_4_42
jialicheng/unlearn-cl_samsum_t5-base_random_label_4_42
unlearn-cl_samsum_t5-base_random_label_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
- 36d269fe
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: 0.6440
- Rouge1: 49.3423
- Rouge2: 24.8206
- Rougel: 41.2117
- Rougelsum: 45.6958
- Gen Len: 24.1863
- Test Rougel: 41.2116
- Df Rougel: 42.2519
- Unlearn Overall Rougel: -0.0202
- Unlearn Time: 931.8655
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 | 0.6470 | 49.0292 | 24.7729 | 42.0171 | 45.4727 | 23.7613 | -0.0355 | -0.0355 | -1 |
| No log | 2.0 | 920 | 0.6451 | 49.1405 | 24.5824 | 41.9794 | 45.449 | 24.4025 | -0.0437 | -0.0437 | -1 |
| 0.6904 | 2.5 | 1150 | 0.6440 | 49.3423 | 24.8206 | 42.2519 | 45.6958 | 24.1863 | -0.0202 | -0.0202 | -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