Downloads · 30 days
6
2% of all-time downloads
roberta-retrained_ru_covid_papers
Daryaflp/roberta-retrained_ru_covid_papers
roberta-retrained_ru_covid_papers is a fill-mask model from Daryaflp. 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
394
Public
Repo size
2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin498 MB · 99%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 29, 2022
- Updated
- Mar 29, 2022
- SHA
- a4e1a6e4
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. -->
roberta-retrained_ru_covid_papers
This model is a fine-tuned version of Daryaflp/roberta-retrained_ru_covid on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9998
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: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Mar 29, 2022
- Updated
- Mar 29, 2022