---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: qard
  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. -->

# qard

This model is a fine-tuned version of [kaisar-barlybay-sse/kaz_legal_bert](https://huggingface.co/kaisar-barlybay-sse/kaz_legal_bert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3614
- Accuracy: 0.4391

## 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: 5e-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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 126  | 1.5970          | 0.4271   |
| No log        | 2.0   | 252  | 1.3113          | 0.4571   |
| No log        | 3.0   | 378  | 1.4418          | 0.4391   |
| 0.838         | 4.0   | 504  | 1.8296          | 0.4491   |
| 0.838         | 5.0   | 630  | 2.2183          | 0.4411   |
| 0.838         | 6.0   | 756  | 1.9106          | 0.4351   |
| 0.838         | 7.0   | 882  | 2.4839          | 0.4451   |
| 0.4281        | 8.0   | 1008 | 3.0046          | 0.4411   |
| 0.4281        | 9.0   | 1134 | 3.2039          | 0.4431   |
| 0.4281        | 10.0  | 1260 | 3.3614          | 0.4391   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3