chinese-macbert-base-finetuned-ner – AI Model by zhiguoxu | AlphaNeural AI

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zhiguoxu/
chinese-macbert-base-finetuned-ner

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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chinese-macbert-base-finetuned-ner

This model is a fine-tuned version of hfl/chinese-macbert-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2420
F1: 0.9224

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: 57
eval_batch_size: 57
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	F1
3.6141	1.0	1	2.6454	0.0
2.7076	2.0	2	2.0034	0.0
2.0979	3.0	3	1.6276	0.0
1.7264	4.0	4	1.3419	0.3522
1.4691	5.0	5	1.1239	0.4091
1.2504	6.0	6	0.9532	0.5514
1.0798	7.0	7	0.8129	0.5895
0.9279	8.0	8	0.6987	0.625
0.8179	9.0	9	0.6081	0.6392
0.7202	10.0	10	0.5346	0.6667
0.6377	11.0	11	0.4731	0.7451
0.5751	12.0	12	0.4226	0.7925
0.5202	13.0	13	0.3804	0.7685
0.4733	14.0	14	0.3447	0.7928
0.44	15.0	15	0.3145	0.8509
0.4047	16.0	16	0.2899	0.8918
0.3773	17.0	17	0.2707	0.8966
0.353	18.0	18	0.2563	0.9052
0.3413	19.0	19	0.2468	0.9224
0.3314	20.0	20	0.2420	0.9224

Framework versions

Transformers 4.18.0
Pytorch 1.12.0+cu102
Datasets 1.18.4
Tokenizers 0.12.1