xlmr-ne-en-all_shuffled-1986-test2000
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: 0.6979
- R Squared: 0.2158
- Mae: 0.6620
- Pearson R: 0.5874
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: 1986
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | R Squared | Mae | Pearson R |
---|---|---|---|---|---|---|
No log | 1.0 | 375 | 0.7071 | 0.2054 | 0.6886 | 0.4923 |
0.766 | 2.0 | 750 | 0.6521 | 0.2673 | 0.6482 | 0.5797 |
0.5699 | 3.0 | 1125 | 0.6979 | 0.2158 | 0.6620 | 0.5874 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
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