bert-base-chinese

This model is a fine-tuned version of ckiplab/albert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6943
• F1: 0.5455
• Roc Auc: 0.5500
• Accuracy: 0.0

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: 128
• eval_batch_size: 128
• 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	F1	Roc Auc	Accuracy
No log	1.0	1	0.6943	0.5455	0.5500	0.0
No log	2.0	2	0.6945	0.5455	0.5500	0.0
No log	3.0	3	0.6947	0.5455	0.5500	0.0
No log	4.0	4	0.6949	0.5455	0.5500	0.0
No log	5.0	5	0.6949	0.5455	0.5500	0.0

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0