Downloads · 30 days
11
39% of all-time downloads
mmc_roberta_500000_it
Kyungjin-Kim/mmc_roberta_500000_it
mmc_roberta_500000_it is a fill-mask model from Kyungjin-Kim. 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
28
Public
Parameters
58.9M
24 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors236 MB · 99%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Feb 2, 2025
- Updated
- Feb 3, 2025
- SHA
- 00ed0063
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. -->
mmc_roberta_500000_it
This model is a fine-tuned version of on an unknown 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: 0.00025
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- training_steps: 100000
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.48.1
- Pytorch 2.3.1
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Feb 2, 2025
- Updated
- Feb 3, 2025