---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_SYNTH_DATA_WITH_UNANSWERABLE_24_AUG
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# QA_SYNTH_DATA_WITH_UNANSWERABLE_24_AUG

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: 0.0021

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1499        | 1.0   | 7311  | 0.0633          |
| 0.0494        | 2.0   | 14622 | 0.0603          |
| 0.0259        | 3.0   | 21933 | 0.0119          |
| 0.0179        | 4.0   | 29244 | 0.0104          |
| 0.0193        | 5.0   | 36555 | 0.0082          |
| 0.0188        | 6.0   | 43866 | 0.0075          |
| 0.0045        | 7.0   | 51177 | 0.0040          |
| 0.0           | 8.0   | 58488 | 0.0023          |
| 0.0           | 9.0   | 65799 | 0.0065          |
| 0.0           | 10.0  | 73110 | 0.0021          |


### Framework versions

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