Llama-3.1-8B-Instruct_sft_sg_values_p001_OA_silver

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the sft_sg_values_p001_OA_silver dataset. It achieves the following results on the evaluation set:

• Loss: 0.1570

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: 1e-06
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• 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
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.4026	0.1850	250	0.3210
0.2619	0.3701	500	0.2044
0.1813	0.5551	750	0.1763
0.1877	0.7402	1000	0.1621
0.177	0.9252	1250	0.1574

Framework versions

• PEFT 0.15.2
• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 2.21.0
• Tokenizers 0.21.1