This model is a fine-tuned version of IDEA-CCNL/Erlangshen-Longformer-110M on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2093
F1: 0.3636

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	0.6873	0.0
No log	2.0	76	0.6933	0.0
No log	3.0	114	0.7401	0.5854
No log	4.0	152	0.6913	0.0
No log	5.0	190	1.0142	0.4706
No log	6.0	228	0.8925	0.2353
No log	7.0	266	0.9258	0.1333
No log	8.0	304	1.0290	0.3636
No log	9.0	342	1.1018	0.4
No log	10.0	380	1.2093	0.3636

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3

hw2942/Erlangshen-Longformer-110M-wallstreetcn-morning-news-market-overview-open-SSEC-f1-v1

Erlangshen-Longformer-110M-wallstreetcn-morning-news-market-overview-open-SSEC-f1-v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hw2942/
Erlangshen-Longformer-110M-wallstreetcn-morning-news-market-overview-open-SSEC-f1-v1