---
license: cc-by-4.0
base_model: deepset/xlm-roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-squad2-finetuned-squad-3
  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-squad2-finetuned-squad-3

This model is a fine-tuned version of [deepset/xlm-roberta-base-squad2](https://huggingface.co/deepset/xlm-roberta-base-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4132

## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9937        | 1.0   | 5000  | 1.0162          |
| 0.7743        | 2.0   | 10000 | 1.1022          |
| 0.5861        | 3.0   | 15000 | 1.1921          |
| 0.4486        | 4.0   | 20000 | 1.2546          |
| 0.3453        | 5.0   | 25000 | 1.4132          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1