distilbert-base-uncased-lora-text-classification – AI Model by SoreHabte | AlphaNeural AI

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SoreHabte/
distilbert-base-uncased-lora-text-classification

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distilbert/distilbert-base-uncased

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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: 0.9528
Accuracy: {'accuracy': 0.887}

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	0.3796	{'accuracy': 0.88}
0.4157	2.0	500	0.4191	{'accuracy': 0.879}
0.4157	3.0	750	0.6114	{'accuracy': 0.867}
0.1906	4.0	1000	0.5635	{'accuracy': 0.882}
0.1906	5.0	1250	0.7240	{'accuracy': 0.879}
0.0727	6.0	1500	0.8097	{'accuracy': 0.883}
0.0727	7.0	1750	0.9097	{'accuracy': 0.888}
0.0275	8.0	2000	0.9154	{'accuracy': 0.887}
0.0275	9.0	2250	0.9432	{'accuracy': 0.886}
0.0133	10.0	2500	0.9528	{'accuracy': 0.887}

Framework versions

PEFT 0.4.0
Transformers 4.37.1
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1