distilbert-base-uncased-finetuned-imdb_LORA

gokhanErgul/distilbert-base-uncased-finetuned-imdb_LORA

distilbert-base-uncased-finetuned-imdb_LORA is a machine learning model from gokhanErgul. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jan 2, 2026
Updated: Jan 3, 2026
SHA: 52372627

Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-imdb_LORA

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: 2.7398

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: 0.0002
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
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

Training Loss	Epoch	Step	Validation Loss
2.9464	1.0	120	2.7795
2.9063	2.0	240	2.7541
2.8825	3.0	360	2.7398

Framework versions

PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1

Library: peft
License: apache-2.0
Created: Jan 2, 2026
Updated: Jan 3, 2026