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bert-finetuned-ner_swedish_test_large_set – AI Model by Nonzerophilip | AlphaNeural AI

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Nonzerophilip/
bert-finetuned-ner_swedish_test_large_set

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-finetuned-ner_swedish_test_large_set

This model is a fine-tuned version of KBLab/bert-base-swedish-cased-ner on the suc3 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0265
eval_precision: 0.8542
eval_recall: 0.8468
eval_f1: 0.8505
eval_accuracy: 0.9919
eval_runtime: 1076.8307
eval_samples_per_second: 10.685
eval_steps_per_second: 1.336
epoch: 1.0
step: 5754

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: 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 4.19.3
Pytorch 1.7.1
Datasets 2.2.2
Tokenizers 0.12.1