classification_tnews_scarce_imbalanced

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

• Loss: 1.8763
• Accuracy: 0.5867

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.7407	1.0	15	2.6972	0.1267
2.476	2.0	30	2.5490	0.2467
2.1124	3.0	45	2.4033	0.4067
1.8335	4.0	60	2.2475	0.4867
1.5516	5.0	75	2.1290	0.5333
1.3702	6.0	90	2.0374	0.5667
1.1347	7.0	105	1.9598	0.5733
1.1171	8.0	120	1.9145	0.58
0.9873	9.0	135	1.8869	0.5867
0.9644	10.0	150	1.8763	0.5867

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2