bart-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-f1-9

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

• Loss: 4.9099
• F1: 0.5161

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	68	4.0931	0.6923
No log	2.0	136	4.2342	0.6923
No log	3.0	204	4.4335	0.3529
No log	4.0	272	4.6575	0.5455
No log	5.0	340	4.6009	0.4348
No log	6.0	408	4.2793	0.6154
No log	7.0	476	4.9954	0.5
0.0657	8.0	544	5.1372	0.5
0.0657	9.0	612	5.0386	0.5161
0.0657	10.0	680	4.9099	0.5161

Framework versions

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