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: 11.2301
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-07
- 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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 62 | 38.7304 |
| No log | 2.0 | 124 | 37.1806 |
| No log | 3.0 | 186 | 33.3488 |
| No log | 4.0 | 248 | 28.7715 |
| No log | 5.0 | 310 | 24.8965 |
| No log | 6.0 | 372 | 21.4066 |
| No log | 7.0 | 434 | 19.1665 |
| No log | 8.0 | 496 | 17.3087 |
| 29.5022 | 9.0 | 558 | 15.5323 |
| 29.5022 | 10.0 | 620 | 14.4497 |
| 29.5022 | 11.0 | 682 | 14.1622 |
| 29.5022 | 12.0 | 744 | 13.7512 |
| 29.5022 | 13.0 | 806 | 13.3941 |
| 29.5022 | 14.0 | 868 | 13.0215 |
| 29.5022 | 15.0 | 930 | 12.8363 |
| 29.5022 | 16.0 | 992 | 12.6596 |
| 13.2409 | 17.0 | 1054 | 12.5914 |
| 13.2409 | 18.0 | 1116 | 12.2895 |
| 13.2409 | 19.0 | 1178 | 12.2700 |
| 13.2409 | 20.0 | 1240 | 12.1427 |
| 13.2409 | 21.0 | 1302 | 12.1344 |
| 13.2409 | 22.0 | 1364 | 12.0623 |
| 13.2409 | 23.0 | 1426 | 12.0630 |
| 13.2409 | 24.0 | 1488 | 12.0983 |
| 11.0242 | 25.0 | 1550 | 11.7902 |
| 11.0242 | 26.0 | 1612 | 11.8626 |
| 11.0242 | 27.0 | 1674 | 11.9154 |
| 11.0242 | 28.0 | 1736 | 11.6483 |
| 11.0242 | 29.0 | 1798 | 11.8620 |
| 11.0242 | 30.0 | 1860 | 11.5987 |
| 11.0242 | 31.0 | 1922 | 11.7633 |
| 11.0242 | 32.0 | 1984 | 11.7000 |
| 10.5931 | 33.0 | 2046 | 11.6631 |
| 10.5931 | 34.0 | 2108 | 11.4315 |
| 10.5931 | 35.0 | 2170 | 11.5619 |
| 10.5931 | 36.0 | 2232 | 11.5930 |
| 10.5931 | 37.0 | 2294 | 11.5537 |
| 10.5931 | 38.0 | 2356 | 11.6703 |
| 10.5931 | 39.0 | 2418 | 11.5488 |
| 10.5931 | 40.0 | 2480 | 11.4440 |
| 10.4503 | 41.0 | 2542 | 11.3210 |
| 10.4503 | 42.0 | 2604 | 11.4373 |
| 10.4503 | 43.0 | 2666 | 11.4868 |
| 10.4503 | 44.0 | 2728 | 11.3895 |
| 10.4503 | 45.0 | 2790 | 11.4097 |
| 10.4503 | 46.0 | 2852 | 11.5567 |
| 10.4503 | 47.0 | 2914 | 11.3519 |
| 10.4503 | 48.0 | 2976 | 11.3263 |
| 10.4239 | 49.0 | 3038 | 11.4049 |
| 10.4239 | 50.0 | 3100 | 11.2301 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1