metadata

language:
  - mn
license: mit
base_model: xlm-roberta-large
tags:
  - generated_from_trainer
model-index:
  - name: xlm-roberta-large-ner-demo
    results: []

xlm-roberta-large-ner-demo

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: 0.0728
eval_precision: 0.9070
eval_recall: 0.9260
eval_f1: 0.9164
eval_accuracy: 0.9789
eval_runtime: 99.382
eval_samples_per_second: 25.568
eval_steps_per_second: 0.805
epoch: 2.0
step: 954

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 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1