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bert-base-chinese-finetuning-financial-news-sentiment-test1 – AI Model by hw2942 | AlphaNeural AI
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hw2942
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bert-base-chinese-finetuning-financial-news-sentiment-test1
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
finance
zh
autotrain_compatible
endpoints_compatible
us
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bert-base-chinese-finetuning-financial-news-sentiment-test1
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: 0.7809
Accuracy: 0.7872
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: 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
250
0.6190
0.7690
0.4977
2.0
500
0.7809
0.7872
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3
