---
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
datasets:
- generator
model-index:
- name: ehrsql-2024-sft-text2sql-Llama-2-7b-hf
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ehrsql-2024-sft-text2sql-Llama-2-7b-hf

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/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