Chung-Hsiung/distilbert-implementation-1

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

distilbert-implementation-1

This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6945
• —Matthews Correlation: 0.5185

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: 1.2885166618048824e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 25
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.36.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.15.0
• —Tokenizers 0.15.0