model

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

• Loss: 2.9184

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 3000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.1421	0.5330	500	2.8658
2.8251	1.0661	1000	2.8294
2.6508	1.5991	1500	2.8203
2.5872	2.1322	2000	2.8783
2.4264	2.6652	2500	2.8816
2.3586	3.1983	3000	2.9184

Framework versions

• PEFT 0.13.1
• Transformers 4.44.2
• Pytorch 2.4.1+cu118
• Datasets 3.0.1
• Tokenizers 0.19.1