Sharpaxis/RoBERTa_Movie_Review_LoRA

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

• Loss: 0.3046
• F1: 0.8737
• Acc: 0.8734

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: 2e-05
• 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Acc
0.5074	1.0	534	0.3279	0.8635	0.8565
0.3222	2.0	1068	0.3106	0.8742	0.8771
0.3153	3.0	1602	0.3046	0.8737	0.8734

Framework versions

• PEFT 0.14.0
• Transformers 4.46.2
• Pytorch 2.5.1
• Datasets 3.1.0
• Tokenizers 0.20.3