output_llama2_instruct

This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.6746

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 20
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
1.9193	0.0	20	1.8124
1.8847	0.01	40	1.7835
1.813	0.01	60	1.7710
1.9026	0.01	80	1.7605
1.8352	0.01	100	1.7449
1.7327	0.02	120	1.7100
1.8625	0.02	140	1.7055
1.9379	0.02	160	1.7008
1.8597	0.02	180	1.6971
1.8703	0.03	200	1.6943
1.7749	0.03	220	1.6902
1.7645	0.03	240	1.6898
1.7894	0.04	260	1.6886
1.8492	0.04	280	1.6870
1.7331	0.04	300	1.6841
1.7278	0.04	320	1.6830
1.6963	0.05	340	1.6826
1.8226	0.05	360	1.6813
1.8246	0.05	380	1.6797
1.8577	0.05	400	1.6778
1.6691	0.06	420	1.6779
1.7001	0.06	440	1.6774
1.9008	0.06	460	1.6770
1.7856	0.07	480	1.6733
1.7674	0.07	500	1.6746

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1