---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_04dec
  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_04dec

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: 0.0032

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1678        | 1.0   | 9639  | 0.0739          |
| 0.0645        | 2.0   | 19278 | 0.0774          |
| 0.0601        | 3.0   | 28917 | 0.0403          |
| 0.0314        | 4.0   | 38556 | 0.0162          |
| 0.2123        | 5.0   | 48195 | 0.0150          |
| 0.0211        | 6.0   | 57834 | 0.0039          |
| 0.0111        | 7.0   | 67473 | 0.0097          |
| 0.0064        | 8.0   | 77112 | 0.0025          |
| 0.0021        | 9.0   | 86751 | 0.0018          |
| 0.0016        | 10.0  | 96390 | 0.0032          |


### Framework versions

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