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my_disflu_chinese_model – AI Model by yyyy1992 | AlphaNeural AI
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my_disflu_chinese_model
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transformers
pytorch
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-chinese
finetune
autotrain_compatible
endpoints_compatible
us
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my_disflu_chinese_model
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: 0.2753
Accuracy: 0.9154
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
No log
1.0
278
0.2357
0.9100
0.258
2.0
556
0.2753
0.9154
Framework versions
Transformers 4.31.0
Pytorch 2.0.1
Datasets 2.11.0
Tokenizers 0.13.3
