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testThesisSmall – AI Model by Nonzerophilip | AlphaNeural AI
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Nonzerophilip
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testThesisSmall
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transformers
pytorch
bert
token-classification
generated_from_trainer
KBLab/bert-base-swedish-cased-ner
finetune
autotrain_compatible
endpoints_compatible
us
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testThesisSmall
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: 0.5213
Precision: 0.4406
Recall: 0.2977
F1: 0.3553
Accuracy: 0.8680
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
15
0.6246
0.3586
0.1739
0.2342
0.8469
No log
2.0
30
0.5443
0.3785
0.2241
0.2815
0.8583
No log
3.0
45
0.5213
0.4406
0.2977
0.3553
0.8680
Framework versions
Transformers 4.33.0
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.13.3
