text2vec-base-chinese-finetuned-imdb

This model is a fine-tuned version of shibing624/text2vec-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.6629

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.5815	1.0	157	4.3307
4.2485	2.0	314	3.7976
3.9382	3.0	471	3.7050

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1