bert-chinese-weibo-60p-v4 – AI Model by AnonymousCS | AlphaNeural AI

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AnonymousCS/
bert-chinese-weibo-60p-v4

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text-classification

generated_from_trainer

google-bert/bert-base-chinese

text-embeddings-inference

endpoints_compatible

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bert-chinese-weibo-60p-v4

This model is a fine-tuned version of google-bert/bert-base-chinese on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3083
Accuracy: 0.9346

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: 128
eval_batch_size: 256
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	41	0.2887	0.9377
No log	2.0	82	0.2938	0.9315
0.0348	3.0	123	0.2951	0.9377
0.0348	4.0	164	0.3083	0.9346

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2