---
license: apache-2.0
base_model: kz-transformers/kaz-roberta-conversational
tags:
- generated_from_trainer
model-index:
- name: kaz-roberta-base_classification
  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-roberta-base_classification

This model is a fine-tuned version of [kz-transformers/kaz-roberta-conversational](https://huggingface.co/kz-transformers/kaz-roberta-conversational) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3306

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2218        | 1.0   | 6750  | 0.3306          |
| 0.2248        | 2.0   | 13500 | 0.4068          |
| 0.0965        | 3.0   | 20250 | 0.4290          |
| 0.0021        | 4.0   | 27000 | 0.5674          |
| 0.0079        | 5.0   | 33750 | 0.6248          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1