Llama-3.2-1B-Instruct-tuned

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

• Loss: 1.5964
• Perplexity: 4.9351

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: 0.003
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• 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: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Perplexity
No log	0	0	4.5699	96.5354
No log	0.6011	333	1.7253	5.6141
1.8003	1.2022	666	1.6644	5.2825
1.8003	1.8032	999	1.6342	5.1252
1.6299	2.4043	1332	1.6094	5.0000

Framework versions

• PEFT 0.16.0
• Transformers 4.54.1
• Pytorch 2.7.1+cu128
• Datasets 4.0.0
• Tokenizers 0.21.4