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

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myrtotsok/
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: 0.0000
Accuracy: {'accuracy': 1.0}

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	171	0.0001	{'accuracy': 1.0}
No log	2.0	342	0.0001	{'accuracy': 1.0}
0.0245	3.0	513	0.0001	{'accuracy': 1.0}
0.0245	4.0	684	0.0000	{'accuracy': 1.0}
0.0245	5.0	855	0.0001	{'accuracy': 1.0}
0.0	6.0	1026	0.0000	{'accuracy': 1.0}
0.0	7.0	1197	0.0000	{'accuracy': 1.0}
0.0	8.0	1368	0.0000	{'accuracy': 1.0}
0.0	9.0	1539	0.0000	{'accuracy': 1.0}
0.0	10.0	1710	0.0000	{'accuracy': 1.0}

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2