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

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

Loss: 0.8264
Accuracy: {'accuracy': 0.862}

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	250	0.4008	{'accuracy': 0.82}
0.6294	2.0	500	0.6326	{'accuracy': 0.84}
0.6294	3.0	750	0.6141	{'accuracy': 0.87}
0.3802	4.0	1000	1.2677	{'accuracy': 0.82}
0.3802	5.0	1250	0.8264	{'accuracy': 0.862}

Framework versions

PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1