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bert_tnew_cls – AI Model by ivanxia1988 | AlphaNeural AI
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ivanxia1988
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bert_tnew_cls
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-chinese
finetune
autotrain_compatible
endpoints_compatible
us
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bert_tnew_cls
This model is a fine-tuned version of
bert-base-chinese
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6852
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: 32
eval_batch_size: 32
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
No log
1.5625
50
1.6587
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
