modlee_transformer

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

• Loss: 0.2170
• Accuracy: {'accuracy': 0.94184}
• F1: {'f1': 0.9419838799776555}

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: 16
• eval_batch_size: 16
• 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	Accuracy	F1
0.2079	1.0	1563	0.2379	{'accuracy': 0.9226}	{'f1': 0.9261929282526605}
0.1382	2.0	3126	0.2170	{'accuracy': 0.94184}	{'f1': 0.9419838799776555}

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3