Downloads · 30 days
7
2% of all-time downloads
albert-tiny-chinese-david-ner
davidliu1110/albert-tiny-chinese-david-ner
albert-tiny-chinese-david-ner is a token classification model from davidliu1110. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as gpl-3.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
398
Public
Repo size
63.8 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin16 MB · 97%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- gpl-3.0
- Model type
- albert
- Access
- Public
- Created
- Apr 19, 2023
- Updated
- Apr 20, 2023
- SHA
- c2d77a68
Try a prompt
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. -->
albert-tiny-chinese-david-ner
This model is a fine-tuned version of ckiplab/albert-tiny-chinese-ws on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3415
- Precision: 0.6062
- Recall: 0.6690
- F1: 0.6361
- Accuracy: 0.9055
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1796 | 1.4 | 500 | 0.3368 | 0.6201 | 0.6586 | 0.6388 | 0.9046 |
| 0.1374 | 2.8 | 1000 | 0.3415 | 0.6062 | 0.6690 | 0.6361 | 0.9055 |
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 1.10.1+cu113
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- albert
- License
- gpl-3.0
- Created
- Apr 19, 2023
- Updated
- Apr 20, 2023