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finetuned-bert-chinese-base – AI Model by r45289 | AlphaNeural AI
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r45289
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finetuned-bert-chinese-base
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
peoples_daily_ner
model-index
autotrain_compatible
endpoints_compatible
us
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finetuned-bert-chinese-base
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: 0.0185
F1: 0.9571
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: 12
eval_batch_size: 12
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
F1
0.0494
1.0
1739
0.0250
0.9283
0.0146
2.0
3478
0.0202
0.9505
0.0051
3.0
5217
0.0185
0.9571
Framework versions
Transformers 4.31.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
