chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-SSE50-v6

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: 3.2368
• Accuracy: 0.6970

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	Accuracy
No log	1.0	68	2.1236	0.7273
No log	2.0	136	2.1032	0.7576
No log	3.0	204	2.4043	0.6970
No log	4.0	272	2.5972	0.6970
No log	5.0	340	2.6319	0.6667
No log	6.0	408	2.9501	0.6667
No log	7.0	476	3.1384	0.6364
0.0703	8.0	544	3.0845	0.6364
0.0703	9.0	612	3.1213	0.6667
0.0703	10.0	680	3.2368	0.6970

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3