---
tags:
- generated_from_trainer
datasets:
- sberquad
model-index:
- name: my_awesome_qa_model
  results: []
---

<!-- 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. -->

# my_awesome_qa_model

This model is a fine-tuned version of [DeepPavlov/rubert-base-cased-conversational](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational) on the sberquad dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3730

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 250  | 2.4718          |
| 0.9921        | 2.0   | 500  | 2.7453          |
| 0.9921        | 3.0   | 750  | 2.9411          |
| 0.5693        | 4.0   | 1000 | 3.3692          |
| 0.5693        | 5.0   | 1250 | 3.4130          |
| 0.3076        | 6.0   | 1500 | 3.5991          |
| 0.3076        | 7.0   | 1750 | 4.0631          |
| 0.1596        | 8.0   | 2000 | 4.1718          |
| 0.1596        | 9.0   | 2250 | 4.3437          |
| 0.0984        | 10.0  | 2500 | 4.3730          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3