roberta-base-lora-text-classification – AI Model by RyanGwy | AlphaNeural AI

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RyanGwy/
roberta-base-lora-text-classification

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roberta-base-lora-text-classification

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2259
Accuracy: {'accuracy': 0.9357798165137615}

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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
0.268	1.0	4210	0.2460	{'accuracy': 0.908256880733945}
0.2589	2.0	8420	0.2230	{'accuracy': 0.9243119266055045}
0.2229	3.0	12630	0.2091	{'accuracy': 0.926605504587156}
0.2068	4.0	16840	0.2403	{'accuracy': 0.9277522935779816}
0.1923	5.0	21050	0.2259	{'accuracy': 0.9357798165137615}

Framework versions

PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.5.1+cu118
Datasets 3.3.2
Tokenizers 0.21.0