---
license: mit
base_model: IProject-10/xlm-roberta-base-finetuned-squad2
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned-TQuad
  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. -->

# 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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3801

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5132        | 1.0   | 520  | 2.7170          |
| 2.5572        | 2.0   | 1040 | 2.4501          |
| 2.2364        | 3.0   | 1560 | 2.3801          |


### Framework versions

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