---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_19jan_22i_v1
  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_19jan_22i_v1

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: 0.0024

## 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: 6
- eval_batch_size: 6
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.0487        | 1.0   | 17996  | 0.0351          |
| 0.0289        | 2.0   | 35992  | 0.0197          |
| 0.0219        | 3.0   | 53988  | 0.0076          |
| 0.0126        | 4.0   | 71984  | 0.0027          |
| 0.0128        | 5.0   | 89980  | 0.0036          |
| 0.0           | 6.0   | 107976 | 0.0025          |
| 0.0002        | 7.0   | 125972 | 0.0026          |
| 0.0002        | 8.0   | 143968 | 0.0027          |
| 0.0014        | 9.0   | 161964 | 0.0024          |
| 0.0           | 10.0  | 179960 | 0.0024          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0