distilbert-base-uncased-lora-text-classification – AI Model by momentumxx2 | AlphaNeural AI

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momentumxx2/
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 the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0287
Accuracy: {'accuracy': 0.874}

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	0.4453	{'accuracy': 0.867}
0.4345	2.0	500	0.5586	{'accuracy': 0.853}
0.4345	3.0	750	0.6398	{'accuracy': 0.867}
0.3044	4.0	1000	0.6654	{'accuracy': 0.872}
0.3044	5.0	1250	0.8133	{'accuracy': 0.883}
0.1693	6.0	1500	0.9307	{'accuracy': 0.864}
0.1693	7.0	1750	1.0022	{'accuracy': 0.872}
0.0851	8.0	2000	1.0017	{'accuracy': 0.869}
0.0851	9.0	2250	0.9970	{'accuracy': 0.878}
0.0407	10.0	2500	1.0287	{'accuracy': 0.874}

Framework versions

PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1