metadata

license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert-base-turkish-sentiment-analysis
    results: []
language:
  - tr

bert-base-turkish-sentiment-analysis

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: 0.2458
Accuracy: 0.962

Model description

"Positive": LABEL_1 "Notr": LABEL_0 "Negative": LABEL_2

"Fine-Tuning Process" https://github.com/saribasmetehan/Transformers-Library/blob/main/Turkish_Text_Classifiaction_Fine_Tuning_PyTorch.ipynb

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: 5e-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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1902	1.0	625	0.1629	0.9575
0.1064	2.0	1250	0.1790	0.96
0.0631	3.0	1875	0.2358	0.96
0.0146	4.0	2500	0.2458	0.962

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1