---
base_model: ytu-ce-cosmos/turkish-base-bert-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: turkish_mmlu_base-bert-uncased
  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. -->

# turkish_mmlu_base-bert-uncased

This model is a fine-tuned version of [ytu-ce-cosmos/turkish-base-bert-uncased](https://huggingface.co/ytu-ce-cosmos/turkish-base-bert-uncased) on the [alibayram/turkish_mmlu](https://huggingface.co/datasets/alibayram/turkish_mmlu)dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5043
- Accuracy: 0.3119

## 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: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.5725        | 0.9998 | 2063 | 1.5487          | 0.2739   |
| 1.5254        | 1.9995 | 4126 | 1.5090          | 0.3057   |
| 1.4895        | 2.9993 | 6189 | 1.5043          | 0.3119   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1