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Arxiver_insightSumm_t5_finetuned_model
mishikaa16/Arxiver_insightSumm_t5_finetuned_model
Arxiver_insightSumm_t5_finetuned_model is a summarization model from mishikaa16. Use it when you need a shorter version of a longer text. It is set up for transformers. 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
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 8, 2025
- Updated
- May 8, 2025
- SHA
- 4786e086
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Base models
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. -->
insightSumm_t5_finetuned_model_final-insightSumm__2025-05-06_02.19.20
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3468
- Rouge1: 89.1089
- Rouge2: 86.5989
- Rougel: 88.8703
- Rougelsum: 88.8963
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.2422 | 1.0 | 3168 | 0.3808 | 88.8866 | 86.4314 | 88.6547 | 88.6723 |
| 0.2168 | 2.0 | 6336 | 0.3629 | 88.9098 | 86.4533 | 88.6846 | 88.7028 |
| 0.6073 | 3.0 | 9504 | 0.3476 | 89.0326 | 86.5194 | 88.786 | 88.8062 |
| 0.3439 | 4.0 | 12672 | 0.3468 | 89.1089 | 86.5989 | 88.8703 | 88.8963 |
| 0.4147 | 5.0 | 15840 | 0.3453 | 89.0482 | 86.5523 | 88.8104 | 88.8276 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.7.0+cu126
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 8, 2025
- Updated
- May 8, 2025