metadata

license: cc-by-nc-sa-4.0
tags:
  - generated_from_trainer
datasets:
  - skript
model-index:
  - name: wikineural-multilingual-ner-finetuned-ner
    results: []

wikineural-multilingual-ner-finetuned-ner

This model is a fine-tuned version of Babelscape/wikineural-multilingual-ner on the skript dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1202
eval_precision: 0.8561
eval_recall: 0.8932
eval_f1: 0.8743
eval_accuracy: 0.9637
eval_runtime: 235.7895
eval_samples_per_second: 4.334
eval_steps_per_second: 0.271
epoch: 2.0
step: 596

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1