Downloads · 30 days
6
2% of all-time downloads
labor_institute_token_256_batch_64
seongwoon/labor_institute_token_256_batch_64
labor_institute_token_256_batch_64 is a fill-mask model from seongwoon. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
359
Public
Parameters
92.2M
2.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors369 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024
- SHA
- f4df0c19
Try a prompt
Base models
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. -->
labor_institute_token_256_batch_64
This model is a fine-tuned version of skt/kobert-base-v1 on the None dataset.
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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024