postbot/bert_uncased_L-2_H-768_A-12-mlm-multi-emails-hq

bertuncasedL-2H-768A-12-mlm-multi-emails-hq

This model is a fine-tuned version of google/bert_uncased_L-2_H-768_A-12 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.9133
• —Accuracy: 0.6452

Model description

Small BERT, uncased. 155 MB.

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: 0.0003
• —trainbatchsize: 8
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 5.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.27.0.dev0
• —Pytorch 2.0.0.dev20230129+cu118
• —Datasets 2.8.0
• —Tokenizers 0.13.1