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textsum6
Hanisnabila/textsum6
textsum6 is a machine learning model from Hanisnabila. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Feb 13, 2025
- Updated
- Feb 13, 2025
- SHA
- ded91dc5
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. -->
textsum6
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9513
- Rouge1: 0.1022
- Rouge2: 0.0619
- Rougel: 0.0975
- Rougelsum: 0.0975
- Gen Len: 18.494
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.5293 | 1.0 | 911 | 1.9513 | 0.1022 | 0.0619 | 0.0975 | 0.0975 | 18.494 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.2.2+cu118
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- transformers
- Type
- t5
- Created
- Feb 13, 2025
- Updated
- Feb 13, 2025