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unlearn-cl_samsum_t5-base_random_label_2_42
jialicheng/unlearn-cl_samsum_t5-base_random_label_2_42
unlearn-cl_samsum_t5-base_random_label_2_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
- 7e21d887
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: 0.6424
- Rouge1: 49.4588
- Rouge2: 25.0044
- Rougel: 41.1687
- Rougelsum: 45.6096
- Gen Len: 24.1588
- Test Rougel: 41.1545
- Df Rougel: 42.3475
- Unlearn Overall Rougel: -0.0965
- Unlearn Time: 893.0246
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 | 0.6467 | 49.0957 | 24.5958 | 42.3884 | 45.2953 | 23.8762 | -0.3339 | -0.3339 | -1 |
| No log | 2.0 | 920 | 0.6419 | 49.277 | 24.7333 | 42.2977 | 45.433 | 24.105 | -0.1244 | -0.1244 | -1 |
| 0.671 | 2.5 | 1150 | 0.6424 | 49.4588 | 25.0044 | 42.3475 | 45.6096 | 24.1588 | -0.0965 | -0.0965 | -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