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update model card README.md
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metadata
language:
  - mn
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: xlm-roberta-large-mongolian-ner
    results: []

xlm-roberta-large-mongolian-ner

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

  • eval_loss: 0.0951
  • eval_precision: 0.9279
  • eval_recall: 0.9375
  • eval_f1: 0.9327
  • eval_accuracy: 0.9807
  • eval_runtime: 90.3965
  • eval_samples_per_second: 28.109
  • eval_steps_per_second: 0.885
  • epoch: 5.0
  • step: 2385

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: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3