This model is a DistilBERT-based sentiment analysis model fine-tuned on the IMDb dataset. It is designed to predict sentiment labels for the texts, classifying them as either positive or negative.

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	F1
0.287	1.0	500	0.2224	0.918	0.9180

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Tokenizers 0.15.2

LiyaT3/sentiment-analysis-imdb-distilbert

sentiment-analysis-imdb-distilbert

Model description