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

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osabobo/
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: 0.8006
Accuracy: {'accuracy': 0.893}

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: 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	125	0.2598	{'accuracy': 0.896}
No log	2.0	250	0.3580	{'accuracy': 0.888}
No log	3.0	375	0.4035	{'accuracy': 0.885}
0.2622	4.0	500	0.5133	{'accuracy': 0.881}
0.2622	5.0	625	0.6146	{'accuracy': 0.886}
0.2622	6.0	750	0.7576	{'accuracy': 0.885}
0.2622	7.0	875	0.7499	{'accuracy': 0.885}
0.045	8.0	1000	0.8082	{'accuracy': 0.891}
0.045	9.0	1125	0.8045	{'accuracy': 0.89}
0.045	10.0	1250	0.8006	{'accuracy': 0.893}

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1