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: 0.7451
• Accuracy: {'accuracy': 0.933}

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	250	0.3071	{'accuracy': 0.919}
0.3665	2.0	500	0.3954	{'accuracy': 0.922}
0.3665	3.0	750	0.3318	{'accuracy': 0.937}
0.1483	4.0	1000	0.5179	{'accuracy': 0.942}
0.1483	5.0	1250	0.5112	{'accuracy': 0.933}
0.0829	6.0	1500	0.5775	{'accuracy': 0.936}
0.0829	7.0	1750	0.6473	{'accuracy': 0.931}
0.019	8.0	2000	0.6950	{'accuracy': 0.937}
0.019	9.0	2250	0.7328	{'accuracy': 0.931}
0.008	10.0	2500	0.7451	{'accuracy': 0.933}

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.1+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0