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wikineural-multilingual-ner

This model was trained from scratch on the wnut_17 dataset.

Model description

The purpose of this model is to practice Hugging Face Tutorial (Token Classification). Please find the original source here:https://huggingface.co/learn/nlp-course/chapter7/2?fw=pt#a-custom-training-loop I used wikineural-multilingual-ner and wnut_17 dataset.(https://huggingface.co/Babelscape/wikineural-multilingual-ner), (https://huggingface.co/datasets/wnut_17)

Intended uses & limitations

More information needed

Training and evaluation data

wnut_17 dataset.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 2.0.1
• Datasets 2.12.0
• Tokenizers 0.13.2