moarslan
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bert-base-turkish-cased-ner

Token Classification

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bert-base-turkish-cased-ner

This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2376
F1: 0.7871

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	593	0.2466	0.7685
0.329	2.0	1186	0.2362	0.7758
0.329	3.0	1779	0.2336	0.7789
0.1763	4.0	2372	0.2376	0.7871

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

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Model size

110M params

Tensor type

F32

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Token Classification

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Model tree for moarslan/bert-base-turkish-cased-ner

Base model

dbmdz/bert-base-turkish-cased

Finetuned

this model

Evaluation results

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