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# rap_phase2_28dec_15i_v1

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: 0.0002

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7144        | 1.0   | 698  | 0.7012          |
| 0.6898        | 2.0   | 1396 | 0.2271          |
| 0.1035        | 3.0   | 2094 | 0.0004          |
| 0.0198        | 4.0   | 2792 | 0.1416          |
| 0.0299        | 5.0   | 3490 | 0.1414          |
| 0.0137        | 6.0   | 4188 | 0.0062          |
| 0.0003        | 7.0   | 4886 | 0.0004          |
| 0.0208        | 8.0   | 5584 | 0.0695          |
| 0.0131        | 9.0   | 6282 | 0.0001          |
| 0.0052        | 10.0  | 6980 | 0.0002          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "xlm-roberta-base", "model-index": [{"name": "rap_phase2_28dec_15i_v1", "results": []}]}
transformers safetensors xlm-roberta question-answering generated_from_trainer base_model:xlm-roberta-base license:mit endpoints_compatible region:us