test_model_3

This model is a fine-tuned version of uer/gpt2-chinese-cluecorpussmall on the None dataset. It achieves the following results on the evaluation set:

• Loss: 4.2475

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
4.465	1.0	1000	4.3223
4.1466	2.0	2000	4.2552
3.9881	3.0	3000	4.2475

Framework versions

• Transformers 4.27.3
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2