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acc3963
metadata
license: mit
base_model: xlm-roberta-base
tags:
  - generated_from_trainer
model-index:
  - name: xlmr-ne-en-all_shuffled-42-test1000
    results: []

xlmr-ne-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: 0.7451
  • R Squared: 0.1276
  • Mae: 0.6822
  • Pearson R: 0.6010

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 0.6144 0.2807 0.6051 0.5401
0.6976 2.0 876 0.6408 0.2498 0.6383 0.6047
0.483 3.0 1314 0.7451 0.1276 0.6822 0.6010

Framework versions

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