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# QA_SYNTH_03_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: 0.0000

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.4121        | 1.0   | 25566  | 0.3383          |
| 0.3399        | 2.0   | 51132  | 0.3236          |
| 0.3087        | 3.0   | 76698  | 0.3220          |
| 0.3544        | 4.0   | 102264 | 0.3204          |
| 0.3487        | 5.0   | 127830 | 0.3201          |
| 0.0066        | 6.0   | 153396 | 0.0015          |
| 0.0034        | 7.0   | 178962 | 0.0001          |
| 0.0           | 8.0   | 204528 | 0.0000          |
| 0.0           | 9.0   | 230094 | 0.0000          |
| 0.0           | 10.0  | 255660 | 0.0000          |


### 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_03_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