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ner-bert-large-uncased-geocite – AI Model by MrPotato | AlphaNeural AI

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MrPotato/
ner-bert-large-uncased-geocite

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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ner-bert-large-uncased-geocite

This model is a fine-tuned version of bert-large-uncased on an unknown dataset.

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: 5e-05
train_batch_size: 16
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2