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chinese-bert-wwm-finetuned-product-1 – AI Model by agdsga | AlphaNeural AI
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chinese-bert-wwm-finetuned-product-1
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transformers
pytorch
tensorboard
bert
text-generation
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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chinese-bert-wwm-finetuned-product-1
This model is a fine-tuned version of
hfl/chinese-bert-wwm
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0000
eval_runtime: 10.6737
eval_samples_per_second: 362.572
eval_steps_per_second: 5.715
epoch: 11.61
step: 18797
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: 256
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
Framework versions
Transformers 4.17.0
Pytorch 1.6.0
Datasets 2.0.0
Tokenizers 0.11.6
