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# rap_phase2_22dec_15i_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: 0.0002

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 327  | 0.8583          |
| 1.5744        | 2.0   | 654  | 1.4563          |
| 1.5744        | 3.0   | 981  | 0.5727          |
| 1.3278        | 4.0   | 1308 | 0.3013          |
| 0.3429        | 5.0   | 1635 | 0.1297          |
| 0.3429        | 6.0   | 1962 | 0.0001          |
| 0.0584        | 7.0   | 2289 | 0.0000          |
| 0.0398        | 8.0   | 2616 | 0.0009          |
| 0.0398        | 9.0   | 2943 | 0.0007          |
| 0.0121        | 10.0  | 3270 | 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_22dec_15i_v1.csv", "results": []}]}
transformers safetensors xlm-roberta question-answering generated_from_trainer base_model:xlm-roberta-base license:mit endpoints_compatible region:us