This model is a fine-tuned version of Lowin/chinese-bigbird-wwm-base-4096 on the dataset of Wallstreetcn Morning News Market Overview with overnight index (000001.SH) movement labels. It achieves the following results on the evaluation set:

Loss: 0.955115795135498
Accuracy: 0.6896551724137931

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	75	0.6903	0.5862
No log	2.0	150	0.6608	0.6552
No log	3.0	225	0.9551	0.6897
No log	4.0	300	1.8075	0.5862
No log	5.0	375	1.7461	0.6552
No log	6.0	450	2.2845	0.5862
0.3813	7.0	525	2.2898	0.5862
0.3813	8.0	600	2.0169	0.6552
0.3813	9.0	675	2.2466	0.6552
0.3813	10.0	750	2.2800	0.6552

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3

hw2942/chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-open-000001SH-v1

chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-open-000001SH-v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hw2942/
chinese-bigbird-wwm-base-4096-wallstreetcn-morning-news-market-overview-open-000001SH-v1