bert-base-chinese-wallstreetcn-morning-news-market-overview-open-SSEC-f1-v1

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: 2.3043
• F1: 0.4167

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	38	0.6797	0.0
No log	2.0	76	0.6726	0.1538
No log	3.0	114	0.6660	0.6154
No log	4.0	152	0.7310	0.4545
No log	5.0	190	0.8288	0.5926
No log	6.0	228	0.9843	0.4545
No log	7.0	266	1.4159	0.4545
No log	8.0	304	1.9705	0.4348
No log	9.0	342	2.2006	0.4167
No log	10.0	380	2.3043	0.4167

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.3
• Tokenizers 0.13.3