hippocrate-lora-training-2024-2

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: 0.7579

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: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 300
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.817	0.5030	2000	0.8639
0.8933	1.0060	4000	0.7860
0.9076	1.5091	6000	0.7668
0.5954	2.0121	8000	0.7627
0.5311	2.5151	10000	0.7580
0.5863	3.0181	12000	0.7542
0.595	3.5211	14000	0.7579

Framework versions

• PEFT 0.12.0
• Transformers 4.45.0
• Pytorch 2.3.1+cu121
• Datasets 2.14.5
• Tokenizers 0.20.0