lora-finetuned-sentiment

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8293
• Accuracy: 0.8322
• F1: 0.7560

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.9149	1.0	76	0.8293	0.8322	0.7560

Framework versions

• PEFT 0.12.0
• Transformers 4.41.2
• Pytorch 2.3.0
• Datasets 2.19.1
• Tokenizers 0.19.1