---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_SYNTHETIC_DATA_TRAIN_REAL_DATA_TEST_xlm_roberta-base
  results: []
datasets:
- squad
---

<!-- 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. -->

# QA_SYNTHETIC_DATA_TRAIN_REAL_DATA_TEST_xlm_roberta-base

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 13.6582

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.018         | 1.0   | 19000  | 13.0396         |
| 0.0481        | 2.0   | 38000  | 10.5261         |
| 0.032         | 3.0   | 57000  | 10.4920         |
| 0.0025        | 4.0   | 76000  | 12.6251         |
| 0.0005        | 5.0   | 95000  | 12.7548         |
| 0.0           | 6.0   | 114000 | 12.1423         |
| 0.0           | 7.0   | 133000 | 11.4364         |
| 0.0044        | 8.0   | 152000 | 11.7476         |
| 0.0           | 9.0   | 171000 | 13.3022         |
| 0.0           | 10.0  | 190000 | 13.6582         |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3