metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: finetuned-xlm-r-masakhaner-swa-whole-word-phonetic
results: []
finetuned-xlm-r-masakhaner-swa-whole-word-phonetic
This model is a fine-tuned version of 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