bert-base-turkish-cased-7allV03-tr

uisikdag/bert-base-turkish-cased-7allV03-tr

bert-base-turkish-cased-7allV03-tr is a text classification model from uisikdag. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

5% of all-time downloads

All-time downloads

423

Public

Repo size

1.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin443 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Mar 13, 2023
Updated: Mar 13, 2023
SHA: 12fa0b76

Try a prompt

Model card

From the Hugging Face model README

umit_7allV3_full

Dataset:

https://www.kaggle.com/datasets/savasy/ttc4900

0:siyaset 1:dünya 2:ekonomi 3:kültür 4:saglik 5:spor 6:teknoloji

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

Loss: 0.2934
Accuracy: 0.9293

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2867	1.0	214	0.2880	0.9136
0.1672	2.0	428	0.2658	0.9327
0.0735	3.0	642	0.2934	0.9293

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Mar 13, 2023
Updated: Mar 13, 2023