distilbert-base-uncased-finetuned-imdb-finetuned-imdb

This model was trained from scratch on the imdb dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.1896
• eval_runtime: 3.5892
• eval_samples_per_second: 1707.604
• eval_steps_per_second: 26.747
• epoch: 1.74
• step: 1500

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.24.0
• Pytorch 1.10.0
• Datasets 2.7.1
• Tokenizers 0.13.2