---
license: llama2
base_model: codellama/CodeLlama-7b-Instruct-hf
tags:
- generated_from_trainer
model-index:
- name: codellama_instruct_pt_text2sql
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# codellama_instruct_pt_text2sql

This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0150

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0693        | 0.22  | 2000  | 0.0589          |
| 0.047         | 0.45  | 4000  | 0.0396          |
| 0.0364        | 0.67  | 6000  | 0.0307          |
| 0.0311        | 0.89  | 8000  | 0.0278          |
| 0.0251        | 1.11  | 10000 | 0.0241          |
| 0.0243        | 1.34  | 12000 | 0.0228          |
| 0.0227        | 1.56  | 14000 | 0.0223          |
| 0.0212        | 1.78  | 16000 | 0.0201          |
| 0.0202        | 2.01  | 18000 | 0.0182          |
| 0.016         | 2.23  | 20000 | 0.0184          |
| 0.0156        | 2.45  | 22000 | 0.0179          |
| 0.015         | 2.67  | 24000 | 0.0173          |
| 0.0147        | 2.9   | 26000 | 0.0165          |
| 0.0112        | 3.12  | 28000 | 0.0165          |
| 0.0109        | 3.34  | 30000 | 0.0161          |
| 0.0109        | 3.56  | 32000 | 0.0155          |
| 0.0105        | 3.79  | 34000 | 0.0152          |
| 0.0104        | 4.01  | 36000 | 0.0150          |
| 0.0077        | 4.23  | 38000 | 0.0158          |
| 0.0078        | 4.46  | 40000 | 0.0151          |
| 0.0076        | 4.68  | 42000 | 0.0150          |
| 0.0077        | 4.9   | 44000 | 0.0150          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3