Downloads · 30 days
3
1% of all-time downloads
muliple_choice
Kique261/muliple_choice
muliple_choice is a multiple choice model from Kique261. Use it for the multiple choice 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
263
Public
Parameters
102M
1.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors409 MB · 100%
At a glance
- Task
- multiple choice
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024
- SHA
- fc308324
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. -->
muliple_choice
This model is a fine-tuned version of hfl/chinese-macbert-base on the clue dataset. It achieves the following results on the evaluation set:
- Loss: 1.3806
- Accuracy: 0.32
- Precision: 0.3720
- Recall: 0.3290
- F1: 0.3290
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 13 | 1.3806 | 0.32 | 0.3720 | 0.3290 | 0.3290 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024