Downloads · 30 days
13
3% of all-time downloads
bert-mini-finetuned-ner
IcyKallen/bert-mini-finetuned-ner
bert-mini-finetuned-ner is a token classification model from IcyKallen. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
466
Public
Repo size
88.9 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin44.5 MB · 98%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Apr 28, 2023
- Updated
- Apr 28, 2023
- SHA
- d5ad01ec
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. -->
ner-bert-mini-conll2003
This model is a fine-tuned version of prajjwal1/bert-mini on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1007
- Precision: 0.8743
- Recall: 0.8993
- F1: 0.8866
- Accuracy: 0.9745
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Apr 28, 2023
- Updated
- Apr 28, 2023