distilbert-base-cased-finetuned-imdb

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

• Loss: 2.2683
• Model Preparation Time: 0.0017

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: 64
• eval_batch_size: 64
• 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
2.5598	1.0	985	2.3402	0.0017
2.4151	2.0	1970	2.2891	0.0017
2.3652	3.0	2955	2.2683	0.0017

Framework versions

• Transformers 4.55.2
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.4