transformers tensorboard safetensors deberta-v2 question-answering generated_from_trainer dataset:sberquad base_model:abletobetable/mdeberta-ru-qa endpoints_compatible region:us
---
base_model: abletobetable/mdeberta-ru-qa
tags:
- generated_from_trainer
datasets:
- sberquad
model-index:
- name: QandA-model-sberquad
  results: []
---

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# QandA-model-sberquad

This model is a fine-tuned version of [abletobetable/mdeberta-ru-qa](https://huggingface.co/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
