bert-base-chinese-wikiann-zh-ner-2 – AI Model by davidliu1110 | AlphaNeural AI

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davidliu1110/
bert-base-chinese-wikiann-zh-ner-2

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-base-chinese-wikiann-zh-ner-2

This model is a fine-tuned version of bert-base-chinese on the wikiann dataset. It achieves the following results on the evaluation set:

Loss: 0.2036
Precision: 0.7577
Recall: 0.7792
F1: 0.7683
Accuracy: 0.9386

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.555	0.16	400	0.3120	0.5949	0.7117	0.6481	0.9041
0.2944	0.32	800	0.2669	0.7013	0.7052	0.7032	0.9230
0.2814	0.48	1200	0.2354	0.7078	0.7601	0.7330	0.9317
0.2351	0.64	1600	0.2271	0.7295	0.7715	0.7499	0.9336
0.2101	0.8	2000	0.2148	0.7478	0.7764	0.7618	0.9369
0.23	0.96	2400	0.2059	0.7586	0.7752	0.7668	0.9385

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3