---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_26march_custom
  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_26march_custom

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: 0.0130

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1376        | 1.0   | 3968  | 0.1012          |
| 0.0825        | 2.0   | 7936  | 0.0518          |
| 0.9985        | 3.0   | 11904 | 0.0451          |
| 0.0379        | 4.0   | 15872 | 0.0324          |
| 0.0281        | 5.0   | 19840 | 0.0253          |
| 0.0096        | 6.0   | 23808 | 0.0204          |
| 0.0062        | 7.0   | 27776 | 0.0147          |
| 0.0072        | 8.0   | 31744 | 0.0106          |
| 0.0013        | 9.0   | 35712 | 0.0129          |
| 0.0002        | 10.0  | 39680 | 0.0130          |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0