---
license: mit
tags:
- generated_from_trainer
model-index:
- name: 2-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. -->

# 2-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: 38.6651

## 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: 5e-08
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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   | 61   | 39.9450         |
| No log        | 2.0   | 122  | 39.5738         |
| No log        | 3.0   | 183  | 40.0065         |
| No log        | 4.0   | 244  | 39.2715         |
| No log        | 5.0   | 305  | 38.7492         |
| No log        | 6.0   | 366  | 38.8567         |
| No log        | 7.0   | 427  | 38.7596         |
| No log        | 8.0   | 488  | 38.6652         |
| 42.1342       | 9.0   | 549  | 38.6603         |
| 42.1342       | 10.0  | 610  | 38.6651         |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1