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# rap_phase2_20dec_200i_v2

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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0417        | 1.0   | 2250  | 0.0183          |
| 0.0262        | 2.0   | 4500  | 0.0000          |
| 0.052         | 3.0   | 6750  | 0.0000          |
| 0.0146        | 4.0   | 9000  | 0.0000          |
| 0.015         | 5.0   | 11250 | 0.0002          |
| 0.003         | 6.0   | 13500 | 0.0000          |
| 0.0099        | 7.0   | 15750 | 0.0000          |
| 0.0158        | 8.0   | 18000 | 0.0000          |
| 0.0           | 9.0   | 20250 | 0.0000          |
| 0.0048        | 10.0  | 22500 | 0.0000          |


### 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_20dec_200i_v2", "results": []}]}
transformers safetensors xlm-roberta question-answering generated_from_trainer base_model:xlm-roberta-base license:mit endpoints_compatible region:us