ankitanand9/bert-finetuned-imdb

<!-- 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. -->

bert-finetuned-imdb

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

• —eval_loss: 0.2293
• —evalmodelpreparation_time: 0.0012
• —eval_accuracy: 0.915
• —eval_f1: 0.9157
• —eval_runtime: 7.8548
• —evalsamplesper_second: 636.551
• —evalstepsper_second: 79.569
• —step: 0

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
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.13.0+cu130
• —Datasets 2.21.0
• —Tokenizers 0.19.1