chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-open-SSEC-f1-v22

This model is a fine-tuned version of Lowin/chinese-bigbird-wwm-base-4096 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.6871
• F1: 0.5714

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	0.7146	0.6087
No log	2.0	68	0.6569	0.6087
No log	3.0	102	0.7000	0.4762
No log	4.0	136	0.7174	0.56
No log	5.0	170	0.8831	0.5185
No log	6.0	204	1.1883	0.4800
No log	7.0	238	1.4144	0.5217
No log	8.0	272	1.5372	0.5806
No log	9.0	306	1.6094	0.5714
No log	10.0	340	1.6871	0.5714

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3