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metadata
license: mit
base_model: xlm-roberta-base
tags:
  - generated_from_trainer
model-index:
  - name: xlmr-si-en-all_shuffled-42-test1000
    results: []

xlmr-si-en-all_shuffled-42-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: 0.8606
  • R Squared: -0.0217
  • Mae: 0.7408
  • Pearson R: 0.5130

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: 3

Training results

Training Loss Epoch Step Validation Loss R Squared Mae Pearson R
No log 1.0 438 0.6977 0.1718 0.7326 0.4475
0.7872 2.0 876 0.6551 0.2223 0.6841 0.5166
0.6178 3.0 1314 0.8606 -0.0217 0.7408 0.5130

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.6
  • Tokenizers 0.14.1