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110bert – AI Model by ZON8955 | AlphaNeural AI
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ZON8955
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110bert
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transformers
joblib
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-chinese
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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110bert
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: 0.0002
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.0004
1.0
759
0.0003
0.0003
2.0
1518
0.0002
Framework versions
Transformers 4.54.0
Pytorch 2.7.1+cu118
Datasets 4.0.0
Tokenizers 0.21.4
