final_LLama_kpi_qlora

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

• Loss: 0.1204

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.153	0.18	800	0.2036
0.1809	0.37	1600	0.1842
0.1	0.55	2400	0.1621
0.0813	0.73	3200	0.1497
0.0899	0.92	4000	0.1204

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.0
• Datasets 2.11.0
• Tokenizers 0.14.0