---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_SYNTHETIC_DATA_ONLY_22_AUG_xlm-roberta-base
  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. -->

# QA_SYNTHETIC_DATA_ONLY_22_AUG_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: 0.0031

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.0045        | 1.0   | 14248  | 0.0030          |
| 0.0085        | 2.0   | 28496  | 0.0025          |
| 0.0076        | 3.0   | 42744  | 0.0031          |
| 0.0021        | 4.0   | 56992  | 0.0031          |
| 0.0053        | 5.0   | 71240  | 0.0031          |
| 0.002         | 6.0   | 85488  | 0.0030          |
| 0.0216        | 7.0   | 99736  | 0.0019          |
| 0.0           | 8.0   | 113984 | 0.0029          |
| 0.0           | 9.0   | 128232 | 0.0030          |
| 0.0           | 10.0  | 142480 | 0.0031          |


### Framework versions

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