---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: kaz_legal_distilbert_full_corpus_10.0_6
  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. -->

# kaz_legal_distilbert_full_corpus_10.0_6

This model is a fine-tuned version of [kaisar-barlybay-sse/kaz_legal_distilbert_full_corpus_10.0](https://huggingface.co/kaisar-barlybay-sse/kaz_legal_distilbert_full_corpus_10.0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1161
- Accuracy: 0.3812

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4011        | 1.0   | 501  | 1.3857          | 0.2974   |
| 1.3922        | 2.0   | 1002 | 1.4143          | 0.3772   |
| 1.285         | 3.0   | 1503 | 1.5145          | 0.3752   |
| 1.0606        | 4.0   | 2004 | 1.6871          | 0.3832   |
| 0.8706        | 5.0   | 2505 | 2.0051          | 0.3852   |
| 0.7318        | 6.0   | 3006 | 2.1161          | 0.3812   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3