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---
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
---
<!-- 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. -->
# 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 |