roberta-base-lora-text-classification

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

• Loss: 0.2259
• Accuracy: {'accuracy': 0.9357798165137615}

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: 0.001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.268	1.0	4210	0.2460	{'accuracy': 0.908256880733945}
0.2589	2.0	8420	0.2230	{'accuracy': 0.9243119266055045}
0.2229	3.0	12630	0.2091	{'accuracy': 0.926605504587156}
0.2068	4.0	16840	0.2403	{'accuracy': 0.9277522935779816}
0.1923	5.0	21050	0.2259	{'accuracy': 0.9357798165137615}

Framework versions

• PEFT 0.14.0
• Transformers 4.49.0
• Pytorch 2.5.1+cu118
• Datasets 3.3.2
• Tokenizers 0.21.0