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sbert_large_nlu_ru-finetuned-squad-full
Timur1984/sbert_large_nlu_ru-finetuned-squad-full
sbert_large_nlu_ru-finetuned-squad-full is a question answering model from Timur1984. 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
- Apr 1, 2022
- Updated
- Apr 7, 2022
- SHA
- 5df2ff52
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. -->
sbert_large_nlu_ru-finetuned-squad-full
This model is a fine-tuned version of ruselkomp/sbert_large_nlu_ru-finetuned-squad-full on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6119
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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 17 | 0.5747 |
| No log | 2.0 | 34 | 0.6119 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 2.0.1.dev0
- Tokenizers 0.11.6
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Apr 1, 2022
- Updated
- Apr 7, 2022