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roberta-retrained_ru_covid
Daryaflp/roberta-retrained_ru_covid
roberta-retrained_ru_covid 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. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 27, 2022
- SHA
- 1fedc168
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
This model is a fine-tuned version of blinoff/roberta-base-russian-v0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8518
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 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Mar 2, 2022
- Updated
- Feb 27, 2022