Edit model card

xlmr-ne-en-all_shuffled-1986-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: 0.6776
  • R Squared: 0.2386
  • Mae: 0.6419
  • Pearson R: 0.6657

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 1.0 438 0.6668 0.2507 0.6678 0.5661
0.7313 2.0 876 0.6442 0.2761 0.6365 0.6635
0.5233 3.0 1314 0.6776 0.2386 0.6419 0.6657

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.6
  • Tokenizers 0.14.1
Downloads last month
2

Finetuned from