---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_11dec_10i_v2
  results: []
---

<!-- 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_11dec_10i_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: 0.0084

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1857        | 1.0   | 4851  | 0.1083          |
| 0.0995        | 2.0   | 9702  | 0.0634          |
| 0.0712        | 3.0   | 14553 | 0.0371          |
| 0.0417        | 4.0   | 19404 | 0.0304          |
| 0.0203        | 5.0   | 24255 | 0.0206          |
| 0.0096        | 6.0   | 29106 | 0.0126          |
| 0.0165        | 7.0   | 33957 | 0.0128          |
| 0.0           | 8.0   | 38808 | 0.0141          |
| 0.0092        | 9.0   | 43659 | 0.0179          |
| 0.0005        | 10.0  | 48510 | 0.0084          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0