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BiggieW/
classification_tnews_100_per_class

Name: classification_tnews_100_per_class
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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classification_tnews_100_per_class

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

Loss: 1.0423
Accuracy: 0.7133

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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.8994	1.0	150	1.2250	0.6733
0.9706	2.0	300	1.0644	0.6867
0.622	3.0	450	1.0083	0.6933
0.4115	4.0	600	1.0495	0.6867
0.2959	5.0	750	1.0423	0.7133

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

BiggieW/classification_tnews_100_per_class

classification_tnews_100_per_class

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

BiggieW/
classification_tnews_100_per_class