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name_to_gender – AI Model by datalearningpr | AlphaNeural AI
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name_to_gender
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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name_to_gender
This model is a fine-tuned version of
bert-base-chinese
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0403
Accuracy: 0.9917
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0987
1.0
1200
0.0477
0.9862
0.0339
2.0
2400
0.0403
0.9917
Framework versions
Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
