---
tags:
- generated_from_trainer
model-index:
- name: unified_skill_ner
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# unified_skill_ner

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0048
- eval_Profession-B-f1: 0.9781
- eval_Profession-I-f1: 0.9798
- eval_Loc-B-f1: 0.9792
- eval_Loc-I-f1: 0.9804
- eval_AreaSkill-B-f1: 0.9625
- eval_AreaSkill-I-f1: 0.9264
- eval_Language-B-f1: 0.9976
- eval_Language-I-f1: 0
- eval_CertificatesLicense-B-f1: 0.9818
- eval_CertificatesLicense-I-f1: 1.0
- eval_Driverslicense-B-f1: 0.9912
- eval_Driverslicense-I-f1: 1.0
- eval_f1: 0.9409
- eval_runtime: 10.5223
- eval_samples_per_second: 490.958
- eval_steps_per_second: 61.394
- step: 0

## 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: 4e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 123
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2