
<!-- 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_SYNTH_02_OCT_WITH_FINETUNE_1.1

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: 0.0018

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3977        | 1.0   | 7341  | 0.0353          |
| 0.0567        | 2.0   | 14682 | 0.0191          |
| 0.0691        | 3.0   | 22023 | 0.0517          |
| 0.0152        | 4.0   | 29364 | 0.0132          |
| 0.0191        | 5.0   | 36705 | 0.0620          |
| 0.0023        | 6.0   | 44046 | 0.0091          |
| 0.0004        | 7.0   | 51387 | 0.0044          |
| 0.0047        | 8.0   | 58728 | 0.0053          |
| 0.0003        | 9.0   | 66069 | 0.0018          |
| 0.0           | 10.0  | 73410 | 0.0018          |


### Framework versions

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

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "xlm-roberta-base", "model-index": [{"name": "QA_SYNTH_02_OCT_WITH_FINETUNE_1.1", "results": []}]}
transformers pytorch xlm-roberta question-answering generated_from_trainer base_model:xlm-roberta-base license:mit endpoints_compatible region:us