imdb-spoiler-distilbert

This model is a fine-tuned version of distilbert-base-uncased on the imdb-spoiler dataset for classification. imdb-spoiler is a subset of a large-dataset for classifying whether a movie review is a spoiler or not.

It achieves the following results on the evaluation set:

• Accuracy: 0.7794

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5139	0.35	500	0.4960	0.7761
0.4732	0.7	1000	0.4822	0.7794

Framework versions

• Transformers 4.39.2
• Pytorch 2.2.2+cpu
• Datasets 2.18.0
• Tokenizers 0.15.2