---
license: mit
tags:
- generated_from_trainer
model-index:
- name: finetuned-xlm-r-masakhaner-swa-whole-word-phonetic
  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. -->

# finetuned-xlm-r-masakhaner-swa-whole-word-phonetic

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: 8.1903

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 84   | 8.4449          |
| No log        | 2.0   | 168  | 8.2529          |
| No log        | 3.0   | 252  | 8.0750          |
| No log        | 4.0   | 336  | 8.1452          |
| No log        | 5.0   | 420  | 8.1334          |
| 8.2835        | 6.0   | 504  | 8.1795          |
| 8.2835        | 7.0   | 588  | 8.3774          |
| 8.2835        | 8.0   | 672  | 8.2166          |
| 8.2835        | 9.0   | 756  | 8.1744          |
| 8.2835        | 10.0  | 840  | 8.1903          |


### Framework versions

- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1