bert-base-chinese-finetuned-imdb

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

• Loss: 1.2260
• Model Preparation Time: 0.0044

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
1.4597	1.0	157	1.2989	0.0044
1.3505	2.0	314	1.2006	0.0044
1.3229	3.0	471	1.2647	0.0044

Framework versions

• Transformers 4.47.0
• Pytorch 2.2.2+cu118
• Datasets 3.2.0
• Tokenizers 0.21.0