results

This model is a fine-tuned version of gizemgg/Llama-2-7b-chat-hf-finetuned-wiki-eng-summary-trial-gen5 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8774

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.0487	0.93	6	0.9595
1.0306	1.86	12	0.9414
0.8627	2.95	19	0.9183
0.9787	3.88	25	0.8934
0.7588	4.66	30	0.8774

Framework versions

• PEFT 0.8.2
• Transformers 4.39.3
• Pytorch 2.1.2+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2