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sber-full-framebank
ruselkomp/sber-full-framebank
sber-full-framebank is a question answering model from ruselkomp. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 10, 2022
- Updated
- May 12, 2022
- SHA
- 4d1afd8a
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. -->
tests-finetuned-squad-full
This model is a fine-tuned version of sberbank-ai/sbert_large_nlu_ru on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5672
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0601 | 1.0 | 11307 | 1.0849 |
| 0.6918 | 2.0 | 22614 | 1.1588 |
| 0.4071 | 3.0 | 33921 | 1.5672 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.2.dev0
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- May 10, 2022
- Updated
- May 12, 2022