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

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hw2942/
chinese-macbert-base-SSE50

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text-classification

generated_from_trainer

hfl/chinese-macbert-base

autotrain_compatible

endpoints_compatible

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chinese-macbert-base-wallstreetcn-morning-news-market-overview-SSE50-3

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

Loss: 1.5654
Accuracy: 0.7576

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	0.4055	0.8485
No log	2.0	68	0.8733	0.6667
No log	3.0	102	0.9532	0.7273
No log	4.0	136	1.3407	0.7576
No log	5.0	170	1.5447	0.6970
No log	6.0	204	1.4398	0.7273
No log	7.0	238	1.3168	0.7879
No log	8.0	272	1.4771	0.7576
No log	9.0	306	1.5679	0.7576
No log	10.0	340	1.5654	0.7576

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3