distilbert-base-uncased-lora-text-classification

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: 0.4297
• Accuracy: {'accuracy': 0.86}

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: 0.01
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7852	1.0	5000	0.4518	{'accuracy': 0.8486}
0.6289	2.0	10000	0.4492	{'accuracy': 0.8528}
0.0503	3.0	15000	0.4297	{'accuracy': 0.86}

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0

Training procedure

Framework versions

• PEFT 0.6.2