roberta-base-lora-text-classification

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8264
• Accuracy: {'accuracy': 0.862}

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	250	0.4008	{'accuracy': 0.82}
0.6294	2.0	500	0.6326	{'accuracy': 0.84}
0.6294	3.0	750	0.6141	{'accuracy': 0.87}
0.3802	4.0	1000	1.2677	{'accuracy': 0.82}
0.3802	5.0	1250	0.8264	{'accuracy': 0.862}

Framework versions

• PEFT 0.12.0
• Transformers 4.42.4
• Pytorch 2.3.1
• Datasets 2.20.0
• Tokenizers 0.19.1