chinese-pert-base-SSE50 – AI Model by hw2942 | AlphaNeural AI | AlphaNeural AI

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hw2942/
chinese-pert-base-SSE50

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0

text-classification

generated_from_trainer

hfl/chinese-pert-base

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-1

This model is a fine-tuned version of hfl/chinese-pert-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5854
Accuracy: 0.7879

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	34	0.6936	0.4242
No log	2.0	68	0.6755	0.6061
No log	3.0	102	0.6629	0.6667
No log	4.0	136	0.5120	0.7879
No log	5.0	170	0.4575	0.8182
No log	6.0	204	0.5254	0.7576
No log	7.0	238	0.5460	0.7879
No log	8.0	272	0.5277	0.8182
No log	9.0	306	0.5906	0.7273
No log	10.0	340	0.5854	0.7879

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3