---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_SYNTHETIC_DATA_ONLY_21_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_21_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: 0.0007

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0509        | 1.0   | 9846  | 0.0072          |
| 0.0736        | 2.0   | 19692 | 0.0035          |
| 0.0165        | 3.0   | 29538 | 0.0042          |
| 0.0029        | 4.0   | 39384 | 0.0035          |
| 0.0228        | 5.0   | 49230 | 0.0024          |
| 0.0004        | 6.0   | 59076 | 0.0032          |
| 0.0           | 7.0   | 68922 | 0.0020          |
| 0.0009        | 8.0   | 78768 | 0.0003          |
| 0.0           | 9.0   | 88614 | 0.0005          |
| 0.0           | 10.0  | 98460 | 0.0007          |


### Framework versions

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