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unlearn_samsum_t5-small_random_label_6_42
jialicheng/unlearn_samsum_t5-small_random_label_6_42
unlearn_samsum_t5-small_random_label_6_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
- 00f64815
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-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.9358
- Rouge1: 40.0008
- Rouge2: 17.5494
- Rougel: 33.878
- Rougelsum: 37.1775
- Gen Len: 20.7677
- Test Rougel: 33.8419
- Df Rougel: 33.5024
- Unlearn Overall Rougel: 0.6698
- Unlearn Time: 944.6205
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 | 2.0235 | 38.9936 | 17.1818 | 33.1425 | 36.2167 | 19.2225 | 0.3841 | 0.3841 | -1 |
| No log | 2.0 | 922 | 1.9779 | 38.8206 | 16.945 | 33.2932 | 36.1303 | 20.0905 | 0.3454 | 0.3454 | -1 |
| 2.8574 | 3.0 | 1383 | 1.9503 | 39.7639 | 17.5862 | 33.6691 | 36.9658 | 21.5819 | 0.5118 | 0.5118 | -1 |
| 2.8574 | 4.0 | 1844 | 1.9435 | 39.6601 | 17.4391 | 33.69 | 36.8957 | 20.5232 | 0.4537 | 0.4537 | -1 |
| 2.6803 | 5.0 | 2305 | 1.9358 | 40.0008 | 17.5494 | 33.5024 | 37.1775 | 20.7677 | 0.6698 | 0.6698 | -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