ernie-3.0-xbase-zh-RETACRED-1114

This model is a fine-tuned version of nghuyong/ernie-3.0-xbase-zh on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.1560

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• 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
1.5417	1.0	1828	1.9809
1.5712	2.0	3656	1.9847
1.5431	3.0	5484	2.1279
1.5233	4.0	7312	2.1653
1.517	5.0	9140	2.1560

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1