Downloads · 30 days
7
21% of all-time downloads
T5-QA
DiDiR6/T5-QA
T5-QA is a question answering model from DiDiR6. Use it when the input is a question plus a passage. 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
34
Public
Parameters
60.5M
12.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors242 MB · 99%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 1, 2024
- Updated
- May 1, 2024
- SHA
- f016cdce
Try a prompt
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. -->
QA
This model is a fine-tuned version of google-t5/t5-small on the Squad V2 Dataset. It achieves the following results on the evaluation set:
- Loss: 1.2978
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: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|---|---|---|---|
| 1.6544 | 1.0 | 8321 | 1.4161 |
| 1.47 | 2.0 | 16642 | 1.3316 |
| 1.4079 | 3.0 | 24963 | 1.2978 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Question Answering
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 1, 2024
- Updated
- May 1, 2024