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bert-base-chinese-finetuned-amazon_zh_20000 – AI Model by ASCCCCCCCC | AlphaNeural AI
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bert-base-chinese-finetuned-amazon_zh_20000
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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bert-base-chinese-finetuned-amazon_zh_20000
This model is a fine-tuned version of
bert-base-chinese
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1683
Accuracy: 0.5224
F1: 0.5194
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: 8
eval_batch_size: 8
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
F1
1.2051
1.0
2500
1.1717
0.506
0.4847
1.0035
2.0
5000
1.1683
0.5224
0.5194
Framework versions
Transformers 4.15.0
Pytorch 1.9.1
Datasets 1.18.3
Tokenizers 0.10.3
