You can deploy this model and start earning money today!

BiggieW/
chinese-bert-wwm-finetuned-chnsenticorp

Name: chinese-bert-wwm-finetuned-chnsenticorp
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

Views

No views yet

chinese-bert-wwm-finetuned-chnsenticorp

This model is a fine-tuned version of hfl/chinese-bert-wwm on a small subset of chnsenticorp dataset. It achieves the following results on the evaluation set:

Loss: 3.0868

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: 5
eval_batch_size: 5
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
1.0096	1.0	15	3.7742
1.7336	2.0	30	3.9102
2.5286	3.0	45	3.4744
2.8892	4.0	60	3.1142
2.7188	5.0	75	2.7622
2.7923	6.0	90	3.1119
2.4094	7.0	105	3.0426
2.5928	8.0	120	2.8928
2.4072	9.0	135	2.9462
2.4349	10.0	150	2.7645

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

BiggieW/chinese-bert-wwm-finetuned-chnsenticorp

chinese-bert-wwm-finetuned-chnsenticorp

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

BiggieW/
chinese-bert-wwm-finetuned-chnsenticorp