pos_tagger_3112_v3

Buseak/pos_tagger_3112_v3

pos_tagger_3112_v3 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

0% of all-time downloads

All-time downloads

13.2K

Public

Parameters

110M

22 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors440 MB · 100%

At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Dec 31, 2023
Updated: Dec 31, 2023
SHA: 3b4e8b07

Try a prompt

Base models

dbmdz/bert-base-turkish-cased

Model card

From the Hugging Face model README

pos_tagger_3112_v3

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: 0.7728
Precision: 0.8922
Recall: 0.8955
F1: 0.8938
Accuracy: 0.9244

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: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	244	0.3040	0.8905	0.8924	0.8915	0.9215
No log	2.0	488	0.2915	0.8981	0.9006	0.8994	0.9279
0.3896	3.0	732	0.3109	0.8933	0.8932	0.8933	0.9234
0.3896	4.0	976	0.3004	0.8954	0.8983	0.8969	0.9263
0.159	5.0	1220	0.3338	0.8929	0.8946	0.8937	0.9242
0.159	6.0	1464	0.3419	0.8914	0.8958	0.8936	0.9240
0.1038	7.0	1708	0.3840	0.8892	0.8930	0.8911	0.9223
0.1038	8.0	1952	0.3923	0.8857	0.8930	0.8894	0.9213
0.0629	9.0	2196	0.4441	0.8888	0.8914	0.8901	0.9213
0.0629	10.0	2440	0.4769	0.8886	0.8929	0.8908	0.9231
0.0357	11.0	2684	0.4846	0.8859	0.8913	0.8886	0.9199
0.0357	12.0	2928	0.5256	0.8877	0.8895	0.8886	0.9211
0.0212	13.0	3172	0.5554	0.8896	0.8900	0.8898	0.9219
0.0212	14.0	3416	0.5748	0.8870	0.8911	0.8890	0.9207
0.0143	15.0	3660	0.5988	0.8877	0.8916	0.8896	0.9220
0.0143	16.0	3904	0.6047	0.8874	0.8903	0.8888	0.9209
0.0098	17.0	4148	0.6161	0.8846	0.8914	0.8880	0.9199
0.0098	18.0	4392	0.6158	0.8883	0.8929	0.8906	0.9217
0.0072	19.0	4636	0.6216	0.8858	0.8928	0.8893	0.9209
0.0072	20.0	4880	0.6497	0.8892	0.8926	0.8909	0.9215
0.0058	21.0	5124	0.6698	0.8887	0.8919	0.8903	0.9216
0.0058	22.0	5368	0.6582	0.8858	0.8916	0.8887	0.9208
0.0046	23.0	5612	0.6915	0.8866	0.8925	0.8896	0.9212
0.0046	24.0	5856	0.6725	0.8898	0.8928	0.8913	0.9222
0.004	25.0	6100	0.6678	0.8912	0.8961	0.8936	0.9238
0.004	26.0	6344	0.6899	0.8891	0.8933	0.8912	0.9224
0.0034	27.0	6588	0.7082	0.8890	0.8922	0.8906	0.9215
0.0034	28.0	6832	0.7066	0.8903	0.8920	0.8911	0.9228
0.0026	29.0	7076	0.7243	0.8882	0.8938	0.8910	0.9228
0.0026	30.0	7320	0.7322	0.8891	0.8923	0.8907	0.9226
0.0023	31.0	7564	0.7292	0.8909	0.8930	0.8920	0.9230
0.0023	32.0	7808	0.7227	0.8922	0.8947	0.8934	0.9244
0.0027	33.0	8052	0.7231	0.8885	0.8922	0.8903	0.9222
0.0027	34.0	8296	0.7236	0.8907	0.8936	0.8922	0.9233
0.0019	35.0	8540	0.7313	0.8875	0.8895	0.8885	0.9214
0.0019	36.0	8784	0.7240	0.8902	0.8935	0.8919	0.9234
0.0017	37.0	9028	0.7364	0.8903	0.8939	0.8921	0.9233
0.0017	38.0	9272	0.7479	0.8896	0.8929	0.8913	0.9232
0.0013	39.0	9516	0.7511	0.8895	0.8937	0.8916	0.9230
0.0013	40.0	9760	0.7689	0.8896	0.8948	0.8922	0.9234
0.001	41.0	10004	0.7597	0.8909	0.8958	0.8933	0.9238
0.001	42.0	10248	0.7581	0.8897	0.8929	0.8913	0.9230
0.001	43.0	10492	0.7512	0.8919	0.8952	0.8935	0.9244
0.0012	44.0	10736	0.7622	0.8921	0.8957	0.8939	0.9244
0.0012	45.0	10980	0.7707	0.8907	0.8952	0.8930	0.9237
0.001	46.0	11224	0.7700	0.8922	0.8963	0.8942	0.9244
0.001	47.0	11468	0.7742	0.8895	0.8938	0.8916	0.9231
0.0009	48.0	11712	0.7753	0.8911	0.8945	0.8928	0.9239
0.0009	49.0	11956	0.7746	0.8909	0.8944	0.8927	0.9236
0.0008	50.0	12200	0.7728	0.8922	0.8955	0.8938	0.9244

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Dec 31, 2023
Updated: Dec 31, 2023