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# rap_phase2_13dec_10i_v1.csv

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: 0.1720

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2204        | 1.0   | 4135  | 0.2769          |
| 0.1411        | 2.0   | 8270  | 0.1474          |
| 0.0612        | 3.0   | 12405 | 0.1037          |
| 0.6502        | 4.0   | 16540 | 0.7344          |
| 0.4443        | 5.0   | 20675 | 0.2943          |
| 0.1665        | 6.0   | 24810 | 0.1816          |
| 0.0239        | 7.0   | 28945 | 0.0175          |
| 0.1909        | 8.0   | 33080 | 0.2301          |
| 0.1625        | 9.0   | 37215 | 0.1709          |
| 0.1384        | 10.0  | 41350 | 0.1720          |


### 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_13dec_10i_v1.csv", "results": []}]}
transformers safetensors xlm-roberta question-answering generated_from_trainer base_model:xlm-roberta-base license:mit endpoints_compatible region:us