distilbert-base-uncased-finetuned-imdb

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

• Loss: 2.4988
• Model Preparation Time: 0.001

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: 256
• eval_batch_size: 256
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
2.8034	1.0	40	2.5431	0.001
2.6359	2.0	80	2.5020	0.001
2.6196	3.0	120	2.5051	0.001

Framework versions

• Transformers 4.48.3
• Pytorch 2.7.1+cu118
• Datasets 2.14.6
• Tokenizers 0.21.1