Downloads · 30 days
25
2% of all-time downloads
py315-pylingual-v3-mlm
syssec-utd/py315-pylingual-v3-mlm
py315-pylingual-v3-mlm is a fill-mask model from syssec-utd. 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
1.3K
Public
Parameters
110M
35.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Aug 5, 2026
- Updated
- Aug 6, 2026
- SHA
- 8650e7be
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. -->
py315-pylingual-v3-mlm
This model is a fine-tuned version of on the syssec-utd/segmentation-py315-pylingual-v3 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Framework versions
- Transformers 5.12.1
- Pytorch 2.12.0+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Aug 5, 2026
- Updated
- Aug 6, 2026