You can deploy this model and start earning money today!

tergel/
bert-base-mongolian-uncased-ner

Name: bert-base-mongolian-uncased-ner
Availability: InStock

tensorboard

safetensors

bert

generated_from_trainer

tergel/bert-base-mongolian-uncased

finetune

Views

No views yet

bert-base-mongolian-uncased-ner

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

Loss: 0.1610
Precision: 0.8207
Recall: 0.8426
F1: 0.8315
Accuracy: 0.9593

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: 128
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3447	1.0	60	0.1578	0.7339	0.7793	0.7559	0.9468
0.136	2.0	120	0.1348	0.7915	0.8026	0.7970	0.9545
0.0997	3.0	180	0.1325	0.8020	0.8288	0.8152	0.9570
0.0761	4.0	240	0.1351	0.8086	0.8310	0.8196	0.9584
0.0595	5.0	300	0.1396	0.8173	0.8334	0.8253	0.9591
0.0485	6.0	360	0.1455	0.8084	0.8313	0.8197	0.9576
0.0399	7.0	420	0.1548	0.8135	0.8377	0.8254	0.9581
0.0354	8.0	480	0.1586	0.8179	0.8407	0.8292	0.9587
0.0315	9.0	540	0.1599	0.8165	0.8414	0.8288	0.9587
0.0283	10.0	600	0.1610	0.8207	0.8426	0.8315	0.9593

Framework versions

Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

tergel/bert-base-mongolian-uncased-ner

bert-base-mongolian-uncased-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tergel/
bert-base-mongolian-uncased-ner