ehrsql-2024-sft-text2sql-Llama-2-7b-hf

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

• Loss: 0.0805

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: 0.001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.0765	1.0	816	0.0907
0.0659	2.0	1632	0.0805
0.0552	3.0	2448	0.0779
0.0476	4.0	3264	0.0793
0.0457	5.0	4080	0.0805

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.2.1
• Datasets 2.19.0
• Tokenizers 0.15.2