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metadata
license: mit
tags:
  - generated_from_trainer
datasets:
  - hi_ner_config
base_model: xlm-roberta-large
model-index:
  - name: xlm-roberta-large-finetuned-ner
    results: []

xlm-roberta-large-finetuned-ner

This model is a fine-tuned version of xlm-roberta-large on the hi_ner_config dataset.

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 6

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1