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# QA_SYNTH_29_SEPT_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: 0.0036

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.1705        | 1.0   | 10935  | 0.1407          |
| 0.1014        | 2.0   | 21870  | 0.0550          |
| 0.0426        | 3.0   | 32805  | 0.0541          |
| 0.0028        | 4.0   | 43740  | 0.0320          |
| 0.0215        | 5.0   | 54675  | 0.0307          |
| 0.0065        | 6.0   | 65610  | 0.0119          |
| 0.014         | 7.0   | 76545  | 0.0074          |
| 0.0           | 8.0   | 87480  | 0.0037          |
| 0.0           | 9.0   | 98415  | 0.0047          |
| 0.0           | 10.0  | 109350 | 0.0036          |


### 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_29_SEPT_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