results

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4878

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-05
• train_batch_size: 3
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 12
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
0.6255	1.9665	88	0.6068
0.5655	3.9330	176	0.5801
0.5342	5.8994	264	0.5503
0.5044	7.8659	352	0.5312
0.48	9.8324	440	0.5123
0.4487	11.7989	528	0.5025
0.4325	13.7654	616	0.4943
0.4053	15.7318	704	0.4901
0.4218	17.6983	792	0.4892
0.4087	19.6648	880	0.4878

Framework versions

• PEFT 0.10.0
• Transformers 4.42.3
• Pytorch 2.3.1+cu121
• Datasets 2.18.0
• Tokenizers 0.19.1