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roberta-jd-augmented – AI Model by jenniferhk008 | AlphaNeural AI
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roberta-jd-augmented
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transformers
safetensors
bert
text-classification
generated_from_trainer
uer/roberta-base-finetuned-jd-binary-chinese
finetune
autotrain_compatible
endpoints_compatible
us
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roberta-jd-augmented
This model is a fine-tuned version of
uer/roberta-base-finetuned-jd-binary-chinese
on an unknown dataset.
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: 8
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
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
