llama_2_ko_7b_wiki_QA

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

• Loss: 1.1703

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss
1.8568	0.33	50	1.4294
1.2307	0.67	100	1.2169
1.1788	1.0	150	1.1865
1.0837	1.33	200	1.1810
1.1905	1.67	250	1.1740
1.161	2.0	300	1.1703

Framework versions

• Transformers 4.33.0.dev0
• Pytorch 2.0.0+cu117
• Datasets 2.10.1
• Tokenizers 0.13.3