shubhamgantayat/paper-pretrained-model

<!-- 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. -->

paper-pretrained-model

This model is a fine-tuned version of shubhamgantayat/paper-pretrained-model on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.3898

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: 0.0005
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2