Downloads · 30 days
6
15% of all-time downloads
t5-base-end2end-questions-generation_eli_squad_single_exp_imp
Khushnur/t5-base-end2end-questions-generation_eli_squad_single_exp_imp
t5-base-end2end-questions-generation_eli_squad_single_exp_imp is a machine learning model from Khushnur. 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
39
Public
Repo size
3.6 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
- Jul 6, 2023
- Updated
- Jul 7, 2023
- SHA
- 8674009e
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-base-end2end-questions-generation_eli_squad_single_exp_imp
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3209
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3631 | 0.25 | 100 | 2.4532 |
| 2.1765 | 0.49 | 200 | 2.4057 |
| 2.1516 | 0.74 | 300 | 2.3775 |
| 2.1037 | 0.98 | 400 | 2.3595 |
| 2.0402 | 1.23 | 500 | 2.3486 |
| 2.0185 | 1.47 | 600 | 2.3384 |
| 2.0031 | 1.72 | 700 | 2.3350 |
| 2.0344 | 1.96 | 800 | 2.3275 |
| 1.9459 | 2.21 | 900 | 2.3262 |
| 1.9789 | 2.46 | 1000 | 2.3235 |
| 1.9784 | 2.7 | 1100 | 2.3210 |
| 1.9592 | 2.95 | 1200 | 2.3209 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 6, 2023
- Updated
- Jul 7, 2023