distilbert-base-uncased-finetuned-imdb

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

• Loss: 2.3800

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_FUSED 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

Step	Training Loss	Validation Loss	Perplexity
156	2.458119	—	—
312	2.440733	—	—
468	2.415128	—	—
471	2.415128	2.379980	10.80

Framework versions

• Transformers 5.15.1
• Pytorch 2.11.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2

Usage

preds = mask_filler(text)

for pred in preds:
    print(f"{pred['sequence']}")

preds = mask_filler(text)

for pred in preds:
    print(f"{pred['sequence']}")

Output

• this is a great film.
• this is a great movie.
• this is a great idea.
• this is a great one.
• this is a great story.