Downloads · 30 days
7
2% of all-time downloads
my_awesome_qa_cmrc2018_model
yayima/my_awesome_qa_cmrc2018_model
my_awesome_qa_cmrc2018_model is a question answering model from yayima. 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
346
Public
Repo size
1.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin407 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Dec 19, 2023
- Updated
- Dec 19, 2023
- SHA
- c046a046
Try a prompt
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_cmrc2018_model
This model is a fine-tuned version of hfl/chinese-pert-base-mrc on the cmrc2018 dataset. It achieves the following results on the evaluation set:
- Loss: 1.5397
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 |
|---|---|---|---|
| 0.8593 | 1.0 | 634 | 1.2136 |
| 0.6411 | 2.0 | 1268 | 1.3501 |
| 0.4974 | 3.0 | 1902 | 1.5397 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 19, 2023
- Updated
- Dec 19, 2023