QandA-model-sberquad
This model is a fine-tuned version of abletobetable/mdeberta-ru-qa on the sberquad dataset. It achieves the following results on the evaluation set:
- Loss: 5.4852
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: 0.001
- train_batch_size: 25
- eval_batch_size: 25
- seed: 2023
- 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 |
|---|---|---|---|
| No log | 1.0 | 1 | 5.6285 |
| No log | 2.0 | 2 | 5.4759 |
| No log | 3.0 | 3 | 5.4852 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for OlgaSherr/QandA-model-sberquad
Base model
abletobetable/mdeberta-ru-qa