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
• eval_model_preparation_time: 0.0012
• eval_accuracy: 0.915
• eval_f1: 0.9157
• eval_runtime: 7.8548
• eval_samples_per_second: 636.551
• eval_steps_per_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
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Framework versions

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