distilbert-base-uncased-lora-text-classification – AI Model by vijaytakbhate2002 | AlphaNeural AI

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vijaytakbhate2002/
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: 0.8732
Accuracy: {'accuracy': 0.899}

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	0.3314	{'accuracy': 0.893}
0.4258	2.0	500	0.5002	{'accuracy': 0.871}
0.4258	3.0	750	0.5798	{'accuracy': 0.884}
0.1641	4.0	1000	0.6983	{'accuracy': 0.891}
0.1641	5.0	1250	0.7810	{'accuracy': 0.891}
0.0738	6.0	1500	0.7334	{'accuracy': 0.889}
0.0738	7.0	1750	0.7806	{'accuracy': 0.903}
0.0171	8.0	2000	0.8513	{'accuracy': 0.9}
0.0171	9.0	2250	0.8584	{'accuracy': 0.897}
0.0073	10.0	2500	0.8732	{'accuracy': 0.899}

Framework versions

PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1