metadata

library_name: transformers
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_trainer
model-index:
  - name: bert-base-cased-fine-tuned-imdb
    results: []

bert-base-cased-fine-tuned-imdb

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

Loss: 0.6934

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: 0.0001
train_batch_size: 10
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

Training results

Training Loss	Epoch	Step	Validation Loss
0.7039	1.0	1000	0.6988
0.7022	2.0	2000	0.6934

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Tokenizers 0.19.1