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results – AI Model by thanhtctv | AlphaNeural AI
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results
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-chinese
finetune
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
google-bert/bert-base-chinese
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1910
Accuracy: 0.9265
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: 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2662
1.0
1029
0.1910
0.9265
Framework versions
Transformers 4.41.1
Pytorch 1.10.1+cu111
Datasets 2.19.1
Tokenizers 0.19.1
