xlm-roberta-base-finetuned-translation
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0497
- Pearsonr: 0.8316
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: 16
- eval_batch_size: 16
- 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 | Pearsonr |
---|---|---|---|---|
0.0836 | 1.0 | 296 | 0.1106 | 0.8231 |
0.0512 | 2.0 | 592 | 0.0512 | 0.8233 |
0.052 | 3.0 | 888 | 0.0597 | 0.8255 |
0.0466 | 4.0 | 1184 | 0.0539 | 0.8208 |
0.0535 | 5.0 | 1480 | 0.0485 | 0.8291 |
0.0477 | 6.0 | 1776 | 0.0479 | 0.8306 |
0.0432 | 7.0 | 2072 | 0.0497 | 0.8316 |
0.0495 | 8.0 | 2368 | 0.0490 | 0.8290 |
0.0454 | 9.0 | 2664 | 0.0492 | 0.8262 |
0.0496 | 10.0 | 2960 | 0.0503 | 0.8239 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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