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# rap_phase2_04dec_v3

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: 0.0052

## 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: 5
- eval_batch_size: 5
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1492        | 1.0   | 5784  | 0.1119          |
| 0.0494        | 2.0   | 11568 | 0.0361          |
| 0.0652        | 3.0   | 17352 | 0.0484          |
| 0.0167        | 4.0   | 23136 | 0.0169          |
| 0.003         | 5.0   | 28920 | 0.0078          |
| 0.0124        | 6.0   | 34704 | 0.0061          |
| 0.0017        | 7.0   | 40488 | 0.0053          |
| 0.0105        | 8.0   | 46272 | 0.0047          |
| 0.0           | 9.0   | 52056 | 0.0054          |
| 0.0           | 10.0  | 57840 | 0.0052          |


### 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_04dec_v3", "results": []}]}
transformers safetensors xlm-roberta question-answering generated_from_trainer base_model:xlm-roberta-base license:mit endpoints_compatible region:us