distilbert-base-uncased-finetuned-imdb

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

• Loss: 2.4721

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

IMDB dataset for getting intuition on how to train an MLM model

Training procedure

You need to create the dataset in the exact format in which the model was trained by the author.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.7086	1.0	157	2.4898
2.5796	2.0	314	2.4230
2.5269	3.0	471	2.4354

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2