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metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: xlm-roberta-base-finetuned
    results: []

xlm-roberta-base-finetuned

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.4852
  • eval_f1: 0.8009
  • eval_accuracy: 0.901
  • eval_runtime: 13.6483
  • eval_samples_per_second: 366.347
  • eval_steps_per_second: 22.933
  • epoch: 5.0
  • step: 3595

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: 7.889038893287002e-06
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 37
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.10.2+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1