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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wikineural-multilingual-ner-finetuned-ner

This model is a fine-tuned version of [Babelscape/wikineural-multilingual-ner](https://huggingface.co/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