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IceBERT-finetuned-ner

Token Classification

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IceBERT-finetuned-ner

This model is a fine-tuned version of eliasbe/IceBERT-finetuned-ner on the mim_gold_ner dataset.

Model description

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Intended uses & limitations

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Training and evaluation data

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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 4.11.2
Pytorch 1.9.0+cu102
Datasets 1.12.1
Tokenizers 0.10.3

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Token Classification

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