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

ar_xlmr-base

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6612

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: 5e-05
  • train_batch_size: 10
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.21.1
  • Pytorch 1.7.1+cu110
  • Datasets 1.16.1
  • Tokenizers 0.12.1