ba72c1fd-ca3f-4ca8-84b0-41c5c9bb41ed

This model is a fine-tuned version of oopsung/llama2-7b-n-ox-test-v1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7655

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: 0.000201
• train_batch_size: 4
• eval_batch_size: 4
• seed: 10
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0000	1	4.0374
1.2052	0.0015	50	1.2850
0.9271	0.0031	100	1.2355
0.8747	0.0046	150	1.1063
0.947	0.0061	200	1.0673
0.8446	0.0076	250	0.9310
0.8454	0.0092	300	0.8926
0.7412	0.0107	350	0.8178
0.7709	0.0122	400	0.7805
0.7611	0.0137	450	0.7668
0.6656	0.0153	500	0.7655

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1