chinese-pert-base-wallstreetcn-morning-news-market-overview-SSEC-f1-9

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: 2.2802
• F1: 0.5185

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	1.8734	0.4800
No log	2.0	68	2.0855	0.4828
No log	3.0	102	2.0082	0.5185
No log	4.0	136	2.1715	0.5185
No log	5.0	170	2.1098	0.5185
No log	6.0	204	2.3392	0.5806
No log	7.0	238	2.2943	0.5517
No log	8.0	272	2.2967	0.5185
No log	9.0	306	1.9116	0.6207
No log	10.0	340	2.2802	0.5185

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3