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bert-finetuned-ner-chinese-people-daily – AI Model by johnyyhk | AlphaNeural AI
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bert-finetuned-ner-chinese-people-daily
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transformers
pytorch
bert
token-classification
generated_from_trainer
peoples_daily_ner
model-index
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-ner-chinese-people-daily
This model is a fine-tuned version of
bert-base-chinese
on the peoples_daily_ner dataset. It achieves the following results on the evaluation set:
Loss: 0.0604
Precision: 0.8608
Recall: 0.8608
F1: 0.8608
Accuracy: 0.9853
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
131
0.0753
0.6955
0.7887
0.7391
0.9764
No log
2.0
262
0.0588
0.7971
0.8505
0.8229
0.9840
No log
3.0
393
0.0604
0.8608
0.8608
0.8608
0.9853
Framework versions
Transformers 4.29.2
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3
