
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# rap_phase2_11jan_15i_v2

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0070

## 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: 3
- eval_batch_size: 3
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1506        | 1.0   | 8580  | 0.0892          |
| 0.0691        | 2.0   | 17160 | 0.0349          |
| 0.0763        | 3.0   | 25740 | 0.0216          |
| 0.0355        | 4.0   | 34320 | 0.0133          |
| 0.0057        | 5.0   | 42900 | 0.0074          |
| 0.0167        | 6.0   | 51480 | 0.0129          |
| 0.0           | 7.0   | 60060 | 0.0002          |
| 0.0013        | 8.0   | 68640 | 0.0047          |
| 0.0126        | 9.0   | 77220 | 0.0038          |
| 0.001         | 10.0  | 85800 | 0.0070          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "xlm-roberta-base", "model-index": [{"name": "rap_phase2_11jan_15i_v2", "results": []}]}
transformers pytorch xlm-roberta question-answering generated_from_trainer base_model:xlm-roberta-base license:mit endpoints_compatible region:us