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bert_cn_sst – AI Model by colourrain | AlphaNeural AI
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colourrain
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bert_cn_sst
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transformers
safetensors
bert
text-classification
generated_from_trainer
en
glue
google-bert/bert-base-chinese
finetune
model-index
autotrain_compatible
endpoints_compatible
us
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sst2
This model is a fine-tuned version of
google-bert/bert-base-chinese
on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
Loss: 0.4419
Accuracy: 0.8131
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: 32
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: 1.0
Training results
Framework versions
Transformers 4.51.0.dev0
Pytorch 2.5.1
Datasets 3.5.0
Tokenizers 0.21.1
