llama-edu

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7934
• Model Preparation Time: 0.0161

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 20
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
2.2418	1.0256	20	2.0564	0.0161
1.2511	2.0513	40	1.2006	0.0161
0.9906	3.0769	60	0.9552	0.0161
0.8046	4.1026	80	0.8716	0.0161
0.7893	5.1282	100	0.8376	0.0161
0.8012	6.1538	120	0.8167	0.0161
0.7734	7.1795	140	0.8038	0.0161
0.78	8.2051	160	0.7970	0.0161
0.7576	9.2308	180	0.7939	0.0161

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.1.2
• Datasets 2.21.0
• Tokenizers 0.19.1