Downloads · 30 days
5
14% of all-time downloads
idt5-base-qaqg-extend
hawalurahman/idt5-base-qaqg-extend
idt5-base-qaqg-extend is a machine learning model from hawalurahman. 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. --
All-time downloads
35
Public
Parameters
244M
978 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors977 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 18, 2025
- Updated
- May 18, 2025
- SHA
- b82adfdd
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. -->
idt5-base-qaqg-extend
This model is a fine-tuned version of muchad/idt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9963
- Rouge1: 0.5090
- Rouge2: 0.2797
- Rougel: 0.4943
- Rougelsum: 0.4943
- Bleu: 0.2179
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
|---|---|---|---|---|---|---|---|---|
| 1.3281 | 1.0 | 31698 | 1.0872 | 0.4762 | 0.2524 | 0.4641 | 0.4641 | 0.1967 |
| 1.1623 | 2.0 | 63396 | 1.0261 | 0.4891 | 0.2628 | 0.4763 | 0.4762 | 0.2026 |
| 1.0812 | 3.0 | 95094 | 1.0001 | 0.5014 | 0.2712 | 0.4875 | 0.4876 | 0.2120 |
| 0.9809 | 4.0 | 126792 | 0.9926 | 0.5052 | 0.2757 | 0.4915 | 0.4915 | 0.2147 |
| 0.9304 | 5.0 | 158490 | 0.9963 | 0.5090 | 0.2797 | 0.4943 | 0.4943 | 0.2179 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 18, 2025
- Updated
- May 18, 2025