metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
datasets:
- wmt20_mlqe_task1
model-index:
- name: xlmr-si-en-no_shuffled-orig-test1000
results: []
xlmr-si-en-no_shuffled-orig-test1000
This model is a fine-tuned version of xlm-roberta-base on the wmt20_mlqe_task1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6696
- R Squared: -0.0587
- Mae: 0.6388
- Pearson R: 0.5256
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | R Squared | Mae | Pearson R |
|---|---|---|---|---|---|---|
| No log | 1.0 | 438 | 0.5300 | 0.1620 | 0.6148 | 0.4337 |
| 0.8691 | 2.0 | 876 | 0.4828 | 0.2366 | 0.5737 | 0.5227 |
| 0.7034 | 3.0 | 1314 | 0.7226 | -0.1425 | 0.6706 | 0.5349 |
| 0.539 | 4.0 | 1752 | 0.6373 | -0.0077 | 0.6250 | 0.5361 |
| 0.3837 | 5.0 | 2190 | 0.6696 | -0.0587 | 0.6388 | 0.5256 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1