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Finetuning_T5_Text_Summarization
ahmed792002/Finetuning_T5_Text_Summarization
Finetuning_T5_Text_Summarization is a machine learning model from ahmed792002. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- 2a9c5568
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. -->
Finetuning_T5_Text_Summarization
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3305
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.385 | 1.0 | 3683 | 0.3469 |
| 0.3731 | 2.0 | 7366 | 0.3373 |
| 0.3624 | 3.0 | 11049 | 0.3326 |
| 0.3584 | 4.0 | 14732 | 0.3315 |
| 0.3618 | 5.0 | 18415 | 0.3305 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024