bert-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-4

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: 1.5182
• F1: 0.7692

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	F1
No log	1.0	34	0.9974	0.8
No log	2.0	68	2.5176	0.7059
No log	3.0	102	1.9635	0.6154
No log	4.0	136	2.3749	0.7429
No log	5.0	170	2.5003	0.5714
No log	6.0	204	3.1461	0.4
No log	7.0	238	1.7487	0.7586
No log	8.0	272	1.8761	0.7586
No log	9.0	306	1.4221	0.8148
No log	10.0	340	1.5182	0.7692

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1