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bert-finetuned-ner_swedish_test – AI Model by Nonzerophilip | AlphaNeural AI
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Nonzerophilip
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bert-finetuned-ner_swedish_test
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-ner_swedish_test
This model is a fine-tuned version of
KBLab/bert-base-swedish-cased-ner
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0916
Precision: 0.6835
Recall: 0.6391
F1: 0.6606
Accuracy: 0.9788
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
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
128
0.0980
0.6121
0.5976
0.6048
0.9749
No log
2.0
256
0.0914
0.7255
0.6568
0.6894
0.9779
No log
3.0
384
0.0916
0.6835
0.6391
0.6606
0.9788
Framework versions
Transformers 4.19.3
Pytorch 1.7.1
Datasets 2.2.2
Tokenizers 0.12.1
