---
license: mit
base_model: IProject-10/xlm-roberta-base-finetuned-squad2
model-index:
- name: xlm-roberta-base-finetuned-TQuad
  results: []
datasets:
- erdometo/TQuad.0.1
language:
- tr
---

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# xlm-roberta-base-finetuned-TQuad

This model is a fine-tuned version of [IProject-10/xlm-roberta-base-finetuned-squad2](https://huggingface.co/IProject-10/xlm-roberta-base-finetuned-squad2) on tquad.0.1 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2300

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3241        | 1.0   | 520  | 1.2748          |
| 0.9743        | 2.0   | 1040 | 1.2063          |
| 0.7823        | 3.0   | 1560 | 1.2300          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1