model_from_berturk_1401

Buseak/model_from_berturk_1401

model_from_berturk_1401 is a token classification model from Buseak. Use it when you need labels on individual words, such as names. 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

33% of all-time downloads

All-time downloads

Public

Repo size

1.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin440 MB · 100%

At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jan 14, 2023
Updated: Jan 14, 2023
SHA: 6fc2ab70

Try a prompt

Model card

From the Hugging Face model README

model_from_berturk_1401

This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2702
Precision: 0.8979
Recall: 0.8911
F1: 0.8945
Accuracy: 0.9254

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	Precision	Recall	F1	Accuracy
No log	1.0	244	0.4037	0.8571	0.8504	0.8537	0.8950
No log	2.0	488	0.3194	0.8798	0.8741	0.8769	0.9126
0.6153	3.0	732	0.2787	0.8954	0.8862	0.8908	0.9230
0.6153	4.0	976	0.2702	0.8979	0.8911	0.8945	0.9254

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Jan 14, 2023
Updated: Jan 14, 2023