llama-3.2-3B-lora-dummy-32

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the gommt-oneshot-train dataset. It achieves the following results on the evaluation set:

• Loss: 0.0298

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.0452	0.16	5	0.0434
0.0349	0.32	10	0.0370
0.031	0.48	15	0.0330
0.0258	0.64	20	0.0311
0.0277	0.8	25	0.0300
0.0261	0.96	30	0.0298

Framework versions

• PEFT 0.12.0
• Transformers 4.46.1
• Pytorch 2.4.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3