---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: kaz_legal_distilbert_full_corpus_10.0_16
  results: []
---

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# kaz_legal_distilbert_full_corpus_10.0_16

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: 4.0806
- Accuracy: 0.4351

## 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: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4013        | 1.0   | 501  | 1.3849          | 0.3473   |
| 1.3954        | 2.0   | 1002 | 1.3853          | 0.3234   |
| 1.3874        | 3.0   | 1503 | 1.3864          | 0.2216   |
| 1.3995        | 4.0   | 2004 | 1.3863          | 0.3513   |
| 1.3944        | 5.0   | 2505 | 1.3862          | 0.3473   |
| 1.3829        | 6.0   | 3006 | 1.3858          | 0.3713   |
| 1.2411        | 7.0   | 3507 | 1.4126          | 0.3972   |
| 0.9506        | 8.0   | 4008 | 1.7895          | 0.3992   |
| 0.7435        | 9.0   | 4509 | 1.5649          | 0.4212   |
| 0.5988        | 10.0  | 5010 | 2.6088          | 0.4371   |
| 0.4972        | 11.0  | 5511 | 2.8238          | 0.4371   |
| 0.4111        | 12.0  | 6012 | 3.2902          | 0.4431   |
| 0.3471        | 13.0  | 6513 | 3.5568          | 0.4212   |
| 0.3065        | 14.0  | 7014 | 3.9031          | 0.4351   |
| 0.3015        | 15.0  | 7515 | 4.0874          | 0.4311   |
| 0.2873        | 16.0  | 8016 | 4.0806          | 0.4351   |


### Framework versions

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