LoRA_finetuned_model

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.0071

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: 0.0005
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss
1.3045	0.0277	10	1.2147
1.1383	0.0553	20	1.0999
1.0624	0.0830	30	1.0378
0.9968	0.1107	40	1.0186
0.9951	0.1383	50	1.0071

Framework versions

• PEFT 0.13.0
• Transformers 4.45.1
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0