distilbert-base-uncased-finetuned-imdb1

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: 2.2888

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: 32
• eval_batch_size: 32
• 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
2.023	1.0	313	2.3080
2.1325	2.0	626	2.2527
2.2656	3.0	939	2.2888

Framework versions

• Transformers 4.22.1
• Pytorch 1.10.0
• Datasets 2.5.1
• Tokenizers 0.12.1