---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: umit_7allV3_full
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# umit_7allV3_full

Dataset:

https://www.kaggle.com/datasets/savasy/ttc4900

0:siyaset 1:dünya 2:ekonomi 3:kültür 4:saglik 5:spor 6:teknoloji

This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on given dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2934
- Accuracy: 0.9293

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2867        | 1.0   | 214  | 0.2880          | 0.9136   |
| 0.1672        | 2.0   | 428  | 0.2658          | 0.9327   |
| 0.0735        | 3.0   | 642  | 0.2934          | 0.9293   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2