Downloads · 30 days
5
7% of all-time downloads
Question_Generation_ComQ_5_2
Gayathri142214002/Question_Generation_ComQ_5_2
Question_Generation_ComQ_5_2 is a machine learning model from Gayathri142214002. 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
70
Public
Parameters
223M
21.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors892 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jan 24, 2024
- Updated
- Jan 24, 2024
- SHA
- 6ec5cbac
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. -->
Question_Generation_ComQ_5_2
This model is a fine-tuned version of Gayathri142214002/Question_Generation_ComQ_4 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3698
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3089 | 0.28 | 100 | 0.2672 |
| 0.3228 | 0.56 | 200 | 0.2790 |
| 0.3151 | 0.84 | 300 | 0.2883 |
| 0.2723 | 1.12 | 400 | 0.2932 |
| 0.2577 | 1.39 | 500 | 0.3135 |
| 0.2693 | 1.67 | 600 | 0.3270 |
| 0.269 | 1.95 | 700 | 0.3046 |
| 0.2263 | 2.23 | 800 | 0.3335 |
| 0.2215 | 2.51 | 900 | 0.3325 |
| 0.2504 | 2.79 | 1000 | 0.3301 |
| 0.2184 | 3.07 | 1100 | 0.3324 |
| 0.1991 | 3.35 | 1200 | 0.3462 |
| 0.203 | 3.63 | 1300 | 0.3452 |
| 0.2156 | 3.91 | 1400 | 0.3416 |
| 0.1889 | 4.18 | 1500 | 0.3565 |
| 0.1783 | 4.46 | 1600 | 0.3590 |
| 0.196 | 4.74 | 1700 | 0.3569 |
| 0.1994 | 5.02 | 1800 | 0.3500 |
| 0.1593 | 5.3 | 1900 | 0.3588 |
| 0.1761 | 5.58 | 2000 | 0.3642 |
| 0.1729 | 5.86 | 2100 | 0.3651 |
| 0.1708 | 6.14 | 2200 | 0.3652 |
| 0.1661 | 6.42 | 2300 | 0.3670 |
| 0.1522 | 6.69 | 2400 | 0.3684 |
| 0.1484 | 6.97 | 2500 | 0.3698 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 24, 2024
- Updated
- Jan 24, 2024