distilbert-base-uncased-lora-text-classification

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: 0.7319
• Accuracy: {'accuracy': 0.889}

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: 3
• eval_batch_size: 3
• 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	334	0.3624	{'accuracy': 0.885}
0.4609	2.0	668	0.4852	{'accuracy': 0.864}
0.2886	3.0	1002	0.5991	{'accuracy': 0.882}
0.2886	4.0	1336	0.6573	{'accuracy': 0.89}
0.0844	5.0	1670	0.7319	{'accuracy': 0.889}

Framework versions

• Transformers 4.32.1
• Pytorch 2.1.0
• Datasets 2.14.4
• Tokenizers 0.13.3