Downloads · 30 days
6
14% of all-time downloads
my_awesome_qa_model
pcgiang/my_awesome_qa_model
my_awesome_qa_model is a question answering model from pcgiang. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
44
Public
Parameters
109M
436 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors436 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- electra
- Access
- Public
- Created
- Nov 12, 2023
- Updated
- Nov 12, 2023
- SHA
- 1393e1ba
Try a prompt
Base models
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. -->
my_awesome_qa_model
This model is a fine-tuned version of bhadresh-savani/electra-base-squad2 on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 0.1121
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 |
|---|---|---|---|
| No log | 1.0 | 250 | 0.1052 |
| 0.2282 | 2.0 | 500 | 0.1061 |
| 0.2282 | 3.0 | 750 | 0.1121 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- electra
- License
- cc-by-4.0
- Created
- Nov 12, 2023
- Updated
- Nov 12, 2023