llama2_7b_test_4

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

• Loss: 1.6859
• Accuracy: 0.6973

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: 0.0001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.5627	0.0356	4	1.9985	0.6939
2.2846	0.0711	8	1.6859	0.6973

Framework versions

• PEFT 0.11.1
• Transformers 4.42.4
• Pytorch 2.2.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1