xlmr-ne-en-all_shuffled-1985-test1000
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: 0.6212
- R Squared: 0.2421
- Mae: 0.6134
- Pearson R: 0.6426
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: 1985
- 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 | 438 | 0.5898 | 0.2805 | 0.6175 | 0.5928 |
| 0.7144 | 2.0 | 876 | 0.4807 | 0.4135 | 0.5316 | 0.6439 |
| 0.5062 | 3.0 | 1314 | 0.6212 | 0.2421 | 0.6134 | 0.6426 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for patpizio/xlmr-ne-en-all_shuffled-1985-test1000
Base model
FacebookAI/xlm-roberta-base