Downloads · 30 days
10
31% of all-time downloads
t5-end2end-questions-generation
koala500/t5-end2end-questions-generation
t5-end2end-questions-generation is a machine learning model from koala500. 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
32
Public
Repo size
2.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin892 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Apr 26, 2023
- Updated
- Apr 27, 2023
- SHA
- 1c975e40
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. -->
t5-end2end-questions-generation
This model is a fine-tuned version of t5-base on the squad_modified_for_t5_qg dataset. It achieves the following results on the evaluation set:
- Loss: 1.6086
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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 |
|---|---|---|---|
| 2.5365 | 0.68 | 100 | 1.8731 |
| 1.9133 | 1.35 | 200 | 1.7012 |
| 1.7889 | 2.03 | 300 | 1.6489 |
| 1.7197 | 2.71 | 400 | 1.6294 |
| 1.6895 | 3.39 | 500 | 1.6179 |
| 1.6637 | 4.06 | 600 | 1.6111 |
| 1.6482 | 4.74 | 700 | 1.6086 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 26, 2023
- Updated
- Apr 27, 2023