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

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Reddy-Sekhar/
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: 0.2659
Accuracy: {'accuracy': 0.9}

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	25	0.5118	{'accuracy': 0.86}
No log	2.0	50	0.2921	{'accuracy': 0.88}
No log	3.0	75	0.3039	{'accuracy': 0.9}
No log	4.0	100	0.2762	{'accuracy': 0.92}
No log	5.0	125	0.2659	{'accuracy': 0.9}

Framework versions

PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0