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: 1.0075

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
1.2921	0.0277	10	1.2173
1.126	0.0553	20	1.1010
1.0353	0.0830	30	1.0407
1.0177	0.1107	40	1.0200
0.9809	0.1383	50	1.0075

Framework versions

• PEFT 0.13.2
• Transformers 4.45.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.1