modernbert-movie-reviews-polarity – AI Model by armpln | AlphaNeural AI

You can deploy this model and start earning money today!

armpln/
modernbert-movie-reviews-polarity

like

0

text-classification

generated_from_trainer

answerdotai/ModernBERT-base

text-embeddings-inference

endpoints_compatible

Views

No views yet

modernbert-movie-reviews-polarity

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

Loss: 0.3357
Accuracy: 0.9335

Model description

This model classifies movie reviews into:

negative
positive
Base model: answerdotai/ModernBERT-base
Task: Text Classification / Sentiment Analysis
Language: English
Labels: Binary polarity classification
Fine-tuned by: armpln
Framework: Transformers + PyTorch

Intended uses & limitations

This model can be used for:

Sentiment analysis of movie reviews
NLP educational experiments
Binary text classification demonstrations

Training and evaluation data

The model was fine-tuned on a dataset of English movie reviews labeled by sentiment polarity.

Classes:

0 = negative
1 = positive

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3596	1.0	865	0.2724	0.9381
0.1295	2.0	1730	0.3357	0.9335

Framework versions

Transformers 5.7.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2